presidential chief of staff for policy even offhandedly proposed a “national dividend” for citizens based on excess tax revenue from South Korean’s companies’ AI-driven profits
该提议触及了AI时代财富分配的深层矛盾。政府试探性地提出将企业的超额AI利润转化为全民红利，这不仅反映了政策制定者对科技垄断的警惕，也暗示了AI引发的技术性失业需要激进的财富再分配机制来平息社会不满，值得深入探讨。
Humans are just out of distribution.
大多数人认为AI系统需要适应人类行为模式，但作者认为人类行为实际上是AI系统中的'异常值'，因为人类行为与AI训练数据分布不符。这一观点挑战了传统人机交互设计理念，暗示AI系统可能需要为'不完美'的人类行为进行特殊设计。
Drug manufacturers pay pharmacy benefit managers rebates above 50% of list price for formulary access.
制药公司向药品福利管理商支付的回扣超过标价的50%，这一比例远高于OpenAI承诺的17%回报率。这表明在B2B分销渠道中，支付渠道费用是常见做法，但不同行业的支付比例差异很大，制药行业的渠道成本明显高于AI软件行业。
Zig distributes its toolchain as a Python package, which is built on the assumption that virtually all computers already have a Python distribution of some kind.
That's a stupid assumption.
Many computers that don't have a (pre-installed) Python distribution do have access to a (pre-installed) implementation of the World Wide Wruntime.
It would be logical to at least attempt to target it.
一个本该由「应用商店」承载的分发体系，现在却被内容平台接管了。
这一现象揭示了AI技能分发模式的根本性转变，从传统的应用商店模式转向了内容驱动的社交平台分发，反映了用户行为和信任机制的深刻变化，暗示着未来软件分发可能不再依赖于传统应用商店模式。
When a remote MCP server is updated with new tools or resources, every client instantly gets the latest version. No need to push updates, upgrade packages, or reinstall binaries.
令人惊讶的是：MCP服务器更新后所有客户端自动获得最新版本，无需手动更新。这种即时更新机制在软件分发中极为罕见，它消除了版本管理的复杂性，确保用户始终使用最新功能，这是传统软件分发模式无法比拟的优势。
Learning fields turns S-parameter extrapolation into something closer to an in-distribution task.
极具启发性的观点。传统ML模型在未见过的结构上往往失效，因为从S参数看这是“外推”。但底层电磁场遵循不变的麦克斯韦方程。通过学习场，模型掌握了普适物理规律，从而将看似“外推”的预测转化为基于物理的“内插”，打破了ML只能插值的偏见。
on tasks that take a human expert 90 minutes to 3 hours, a GPT-5 agent (with time horizon of around 2 hours and 17 minutes) succeeds 100% of the time for around one-third of the tasks, fails 100% of the time for around one-third of the tasks, and sometimes succeeds and sometimes fails on the remaining third of tasks.
「三分之一全成，三分之一全败，三分之一随机」——这个分布揭示了当前 AI 能力的真实形态：不是一个平滑的能力曲线，而是一个双峰的「能做 / 不能做」分布，中间夹着一个随机带。这意味着给 AI 分配任务时，「试一次」的结果几乎没有参考价值——你需要多次运行才能判断这个任务属于哪个区间。对 AI 产品设计者而言，这个分布是可靠性设计的核心约束。
E2B and E4B · Try in Google AI Edge Gallery
Google AI Edge Gallery 已在 Play Store 上架，用户一键即可在手机上本地运行 E2B 或 E4B——无需 API Key、无需网络、无需账号。这是史上第一次，一个多模态 AI 模型（支持图像+语音+文本）可以像 App 一样被普通用户直接下载使用。AI 能力的分发模式，正在从「订阅制 API」向「App Store 模式」迁移。
https://web.archive.org/web/20260105184244/https://ploum.net/2026-01-05-unteaching_github.html
On github as silo and point of concentration, and what it means for open source and the open web
would take seriously the fact that intelligence is now being scaled and distributed through organizations long before it is unified or fully understood
there's no other way, understanding comes from using it, and having stuff go wrong. The scandals around algos are important in this. Scale and distribution are different beasts. Distribution does not need scale (but a network effect helps) in order to work. The need for scale in digital is an outcome of the financing structure and chosen business model, and is the power grab essentially. #openvraag hoe zet je meer focus op distributie als tegenkracht tegen de schalingshonger van actoren?
Portable Typewriters Today - February 2015<br /> by [[Will Davis]] on 2015-02-10<br /> accessed on 2025-08-05T16:35:48
Although open-source Linux has a global impact in servers, cloud environments, and the internet’s core infrastructure, its adoption in consumer-facing systems remains limited. Efforts to develop Linux-based national operating systems have struggled to achieve scale, yet Linux’s flexibility, security, and alignment with European values make it a critical asset for enhancing digital strategic autonomy.
Assist in document preparation
key point to add as an experience roll that i have
the real problem is what we're layering the web on we shouldn't be doing the web over this kind of just simple file distribution system that works over TCP and you have to work really hard to put over anything else we should be putting the web over a distribution system that can deal with the distributed case that is offline first and uh this is are kind of like stats showing the usage of mobile apps versus uh the web and so on so this is a very real real thing
for - quote / insight - We shouldn't be doing the web over this simple file distribution system that works over TCP - Juan Benet - IPFS
Know and Master Your Social Media Data Flow by [[Louis Gray]]
See commentary at https://boffosocko.com/2017/04/11/a-new-way-to-know-and-master-your-social-media-flow/
A Minimum Viable Ecosystem for collective intelligence by [[Mathew Lowry]]
Relation to Louis Gray's 2009 diagram/post: https://boffosocko.com/2017/04/11/a-new-way-to-know-and-master-your-social-media-flow/
Thus is the problem of Rich and Poor to be solved. The laws of accumulation will be left free; the laws of distribution free. Individualism will continue, but the millionaire will be but a trustee for the poor; intrusted for a season with a great part of the increased wealth of the community, but administering it for the community far better than it could or would have done for itself.
for - quote / critique / question - Thus is the problem of Rich and Poor to be solved. The laws of accumulation will be left free; the laws of distribution free. Individualism will continue, but the millionaire will be but a trustee for the poor; intrusted for a season with a great part of the increased wealth of the community, but administering it for the community far better than it could or would have done for itself. - The Gospel of Wealth - Andrew Carnegie
quote / critique / question - Thus is the problem of Rich and Poor to be solved. The laws of accumulation will be left free; the laws of distribution free. Individualism will continue, but the millionaire will be but a trustee for the poor; intrusted for a season with a great part of the increased wealth of the community, but administering it for the community far better than it could or would have done for itself. - The Gospel of Wealth - Andrew Carnegie - The problem with this reasoning is that it is circular - By rewarding oneself an extreme and unfettered amount of wealth for one's entrepreneurship skills creates inequality in the first place - Competition that destroys other corporations ends up reducing jobs - At the end of life, the rich entrepreneur desires to give back to society the wealth that (s)he originally stole - If one had reasonable amounts of rewarding innovation instead of unreasonable amounts, the problem of inequality can be largely mitigated in the first place whilst still recognizing and rewarding individual effort and ingenuity
It is not by accident that those distributions care a lot about the license of the software they distribute.
A git repository is a development tool, not a distribution mechanism for end users.
temperature can be a major factor in determining the proportion of males and females within a population
for - question - impact of climate change on male and female population distribution of the biosphere
question - impact of climate change on male and female population distribution of the biosphere - How will climate change affect the proportion of males and females of the many species that are and will be impacted by dramatic temperature changes?
A grossly unequal distribution of wealth couples with the increasing consumption patterns of a rising global middle class (189) to amplify ecological destruction.
What made the deal so unusual - and sparked concern among exhibitors - is that 2929 plans to distribute the projects simultaneously in the theatrical, home video and cable arenas.
https://www.theguardian.com/film/2005/may/27/news1
In 2005, 2929 Entertainment signed a distribution deal with Steven Soderbergh which was one of the first to suggest distributing projects simultaneously to theatrical, home video, and cable.
Adler & Hutchinson's Great Books of the Western World was an encyclopedia-based attempt to focus society on a shared history as their common ground. H. G. Wells in his World Encyclopedia thesis attempts to forge a new "moving" common ground based on newly evolving knowledge based on distilling truth out of science. Shared history is obviously much easier to dispense and spread about compared to constantly keeping a growing population up to date with the forefront of science.
How could one carefully compose and juxtapose the two to have a stronger combined effect?
How could one distribute the effects evenly?
What does the statistical mechanics for knowledge management look like at the level of societies and nations?
Is anyone placing OER materials into online channels which center piracy as a means of advertising or distribution?
(Library Genesis, SciHub, Pirate Bay, et. al.)
We find that meeting such access needs for the billions in poverty may lead to crossing ESBs unless resources are reallocated from the rich to the poor28, in line with limitarian and sufficientarian justice37,73.
Under a normal distribution, the area would be about 0.003 using the 68-95-99.7 rule.
Normal rule
However, its tails are thicker than the normal distribution’s, meaning observations are more likely to fall beyond two standard deviations from the mean than under the normal distribution.
This is what Dr. Herring meant by "fatter tails."
Below is why.
Baker, S., Koons, C., & Silver, V. (2021, March 4). Inside Pfizer’s Fast, Fraught, and Lucrative Vaccine Distribution. Bloomberg.Com. https://www.bloomberg.com/news/features/2021-03-04/pfizer-pfe-has-a-moral-dilemma-deciding-where-the-vaccines-will-go
Distribution (or place) refers to an organization, or set of organizations, that is involved in the process of making a product or service available for use or consumption by a consumer or business user
modern trade is still in the very early stages of development. The numerous traditional trade outlets (e.g. small groceries, mom-and-pop shops, dukas or souks) remain the biggest segment of the market
visibility in the supply chain remains one of the biggest challenges. As outlets are small, contributing low volume, hardware and software costs are major stumbling blocks. African companies are increasingly assessing mid-tech solutions and identifying the “appropriate technology” for their operation
Generating randomness.
EVM execution is deterministic. How to account for randomness?
Pesudo random generator, probability distribution.
This podcast is also available on Spotify, Apple Podcasts and Anchor. Please subscribe on your favoured podcast provider and leave a review.
There are actually seven different services that this podcaster has done a huge amount of work to put their content on, ostensibly for the widest discovery, but not a single one of them has a link to the raw audio file to make it easy for one to bookmark and listen to later. Apparently the podcasting silo services have managed to win out over the open web.
Do we really need to make podcasting this hard on individual publishers? Why can't the publisher just have one location and tell all the aggregators, here's a link to my feed, copy it if you will and want to help distribute my content? In some sense, this is part of what is happening as all seven services are using the same findable source, they're just making it more difficult to jump through all the hoops, which means the small guys end up paying more to do the extra work and potentially lose everything if that one source disappears, closes down, or gets acquired and goes away.
These sorts of artificial hurdles and problems are what make it so hard to get up and running.
Prof Jeffrey S Morris on Twitter. (n.d.). Twitter. Retrieved April 26, 2022, from https://twitter.com/jsm2334/status/1462573249712304128
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1.1 Bernoulli distribution
$$ Y \sim f_{B}(y ; \theta)= \begin{cases}\theta^{y}(1-\theta)^{1-y} & \forall y \in\{0,1\} \\ 0 & \text { otherwise }\end{cases} $$
$$E[Y]=\theta$$
$$var(Y)=\theta(1-\theta)$$
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ian bremmer. (2021, August 4). US COVID Deaths Fully vaccinated (left) Not fully vaccinated (right) https://t.co/Av3RjcTsCK [Tweet]. @ianbremmer. https://twitter.com/ianbremmer/status/1423039771480412162
Madhu Pai, MD, PhD. (2021, August 4). 3.5 billion people in🌍 have not had a single Covid 💉 Meanwhile, rich nations are: - Throwing away expired vaccines—Giving booster shots—Offering lotteries to people who are hesitant—Hoarding doses for next year 𝙃𝙊𝙒 𝙒𝙄𝙇𝙇 𝙏𝙃𝙄𝙎 𝙋𝘼𝙉𝘿𝙀𝙈𝙄𝘾 𝙀𝙑𝙀𝙍 𝙀𝙉𝘿? [Tweet]. @paimadhu. https://twitter.com/paimadhu/status/1422880112387710982
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There's no official Chrome or Chromium package for Linux don't install it this way because it's either outdated or unofficial, both are bad. Download it from official source.
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World Health Organization (WHO). (2021, June 9). No one is safe from #COVID19 until everyone is safe. This is why we must vaccinate health workers and highest risk populations in all countries first and at the same time. Donate. Doses. Now. #VaccinEquity https://t.co/oYrQRQq533 [Tweet]. @WHO. https://twitter.com/WHO/status/1402548707845869568
Coronavirus: Macy’s Fourth of July fireworks return for crowds after pandemic — as it happened. (2021, June 10). Financial Times.
Statement by President Joe Biden on Global Vaccine Distribution. (2021, June 3). The White House. https://www.whitehouse.gov/briefing-room/statements-releases/2021/06/03/statement-by-president-joe-biden-on-global-vaccine-distribution/
India’s Covid crisis hits Covax vaccine-sharing scheme. (2021, May 17). BBC News. https://www.bbc.com/news/world-57135368
Kreier, F. (2021). ‘Unprecedented achievement’: Who received the first billion COVID vaccinations? Nature. https://doi.org/10.1038/d41586-021-01136-2
Substack insists that advances are determined by “business decisions, not editorial ones”. Yet it offers writers mentoring and legal advice, and will soon provide editing services.
Some evidence of Substack acting along the lines of agent, production company, and studio. Then taking a slice of the overall pie.
By having the breadth of the space they're able to see who to invest in over time, much the same way that Amazon can put smaller companies out of business by knocking off big sales items.
Record labels are another endangered middleman. They have historically taken care of turning a song into a hit, in return for an ongoing share of revenues. But more and more artists are going it alone. More than 60,000 new songs are uploaded to Spotify every day, most by bedroom-based rockstars who can use new online services to handle the logistics themselves. UnitedMasters, a music-distribution platform which bills itself as “a record label in your pocket”, recently raised $50m in a venture-capital round led by Apple. Tools like Splice make recording easier. Companies like Fanjoy take care of merchandise.And financing is getting simpler. One startup, HIFI, helps artists manage their royalties, paying them regularly and fronting them small sums to make up shortfalls. Another, Karat, extends credit to creators based on their follower count. Helped by such services independent artists took home 5.1% of global recorded music revenues last year, up from 1.7% in 2015, calculates MIDiA Research, a consultancy. In the same period the share of the three largest record labels fell from 71.1% to 65.5%.
The same sort of dis-aggregation and disintermediation that has hit the publishing business is also taking place to newspapers, magazines, and music.
The question is how to best put the pieces of the pie together in the best way possible. There's probably room for talented producers to put these together to better leverage the artists' work.
Céline Gounder, MD, ScM, FIDSA. (2021, April 9). 1/ To delay 2nd doses of the Pfizer and Moderna COVID vaccines (like the UK, Germany, & Canada)? Https://t.co/eeK0160OLG Or not to delay? Https://t.co/V6ptl7t08N That is the question. [Tweet]. @celinegounder. https://twitter.com/celinegounder/status/1380306862868852737
Meyer, M., Gjorgjieva, T., & Rosica, D. (2020). Healthcare worker intentions to receive a COVID-19 vaccine and reasons for hesitancy: A survey of 16,158 health system employees on the eve of vaccine distribution. PsyArXiv. https://doi.org/10.31234/osf.io/ge6uh
Initiative, T. D. (2020). SARS-CoV-2 Vaccine Development & Implementation; Scenarios, Options, Key Decisions. https://rs-delve.github.io/reports/2020/10/01/covid19-vaccination-report.html
In the coming months and years, we’ll be working to further enable choice for creators, including giving them the power to choose not only how someone wants to create or monetize audio, but also where specific content is able to be consumed, ensuring creators have an opportunity to decide if they are aligned with the platforms distributing their content.
So this means you're going to use simple, open standards and tooling so that not only Anchor and Spotify will benefit? Or are you going to build closed systems that require the use of proprietary software and thus force subscriptions? Are you going to Balkanize the audio space to force consumers into your product and only your product? Or will producers be able to have a broad selection of platforms to which they could distribute their content?
Vaccine equity—What does fair distribution look like? | The Economist. (n.d.). Retrieved April 12, 2021, from https://www.economist.com/podcasts/2021/04/05/vaccine-equity-what-does-fair-distribution-look-like?utm_campaign=editorial-social&utm_medium=social-organic&utm_source=twitter
Kai Kupferschmidt. ‘According to @PEI_Germany about 2,7 Million People Have Now Been Vaccinated with AstraZenaca Vaccine in Germany. Amongst These: 31 Cerebral Venous Thromboses (29 Women) 19 of These Also with Thrombocytopenia Reported 9 Deaths Clearly Germany Has to Change Recommendations for Now’. Tweet. @kakape (blog), 30 March 2021. https://twitter.com/kakape/status/1376859903030071301.
Kai Kupferschmidt. ‘According to @PEI_Germany about 2,7 Million People Have Now Been Vaccinated with AstraZenaca Vaccine in Germany. Amongst These: 31 Cerebral Venous Thromboses (29 Women) 19 of These Also with Thrombocytopenia Reported 9 Deaths Clearly Germany Has to Change Recommendations for Now’. Tweet. @kakape (blog), 30 March 2021. https://twitter.com/kakape/status/1376859903030071301.
Davies, G. (2021) ‘Has the UK Really Outperformed the EU on Covid-19 Vaccinations?’. https://blogs.lse.ac.uk/europpblog/2021/03/25/has-the-uk-really-outperformed-the-eu-on-covid-19-vaccinations/.
Uscher-Pines, L., Maurer, J., & Harris, K. M. (2011). Racial and Ethnic Disparities in Uptake and Location of Vaccination for 2009-H1N1 and Seasonal Influenza. American Journal of Public Health, 101(7), 1252–1255. https://doi.org/10.2105/AJPH.2011.300133
Zizzo, J. (2020). The Missing Link in the Covid-19 Vaccine Race. Human Vaccines & Immunotherapeutics, 0(0), 1–3. https://doi.org/10.1080/21645515.2020.1831859
Substack’s nice interface and large community made it easy for content to go viral. And that’s what I wanted. I didn’t need to be paid, but I wanted to get some of my weirder ideas in front of a broad audience. What I’m saying is that Substack suckered me in with the promise of growing my readership, and the bait was that they had so many great writers with huge followings. But now I’m left wondering how many of those huge followings were made possible by payouts from Substack.
YouTube's model is certainly more mature, but is very similar. Some very high profile creators get paid very well and act as scions for hoi poloi who also think they can replicate the same system and become rich themselves. The incredibly vast majority will never come close.
ReconfigBehSci. ‘RT @ashishkjha: Over Past Week We Got 11.4 Million Doses into Arms 5.6 Million Were 1st Doses 5.8 Million Were 2nd Doses That’s a Proble…’. Tweet. @SciBeh (blog), 1 March 2021. https://twitter.com/SciBeh/status/1366421544495382533.
Isaacson, Walter. ‘Opinion | I Was Part of a Trial for Pfizer’s Covid-19 Vaccine. It’s a Miracle for Genetic Medicine.’ Washington Post. Accessed 6 March 2021. https://www.washingtonpost.com/opinions/i-took-the-pfizer-covid-19-vaccine-its-a-miracle-for-genetic-medicine/2020/11/09/77e652d0-22bf-11eb-952e-0c475972cfc0_story.html.
Cantwell, G. T., Kirkley, A., & Newman, M. E. J. (2020). The friendship paradox in real and model networks. ArXiv:2012.03991 [Physics]. http://arxiv.org/abs/2012.03991
ReconfigBehSci on Twitter: ‘RT @AdamJKucharski: Summary of NERVTAG view on new SARS-CoV-2 variant, from 18 Dec (full document here: Https://t.co/yll9beVI9A) https://t.…’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1341034652082036739
Ii, Y. B., Ouattara, A., Torreele, E., & Okonta, C. (2021). How to ensure a needs-driven and community-centred vaccination strategy for COVID-19 in Africa. BMJ Global Health, 6(2), e005306. https://doi.org/10.1136/bmjgh-2021-005306
Recognize that all people are both located in systems and also uniquely individual
I love this point, there are so many different places and there is always inequality everywhere.
It’s Okay To Be Smart. (2021, February 4). Visualizing Herd Immunity (with 500 Mousetraps!) (feat. @The Slow Mo Guys). https://www.youtube.com/watch?v=Et_J8_x4qBs&feature=youtu.be
Cormier, Z. (n.d.). The Second-Generation COVID Vaccines Are Coming. Scientific American. Retrieved 11 February 2021, from https://www.scientificamerican.com/article/the-second-generation-covid-vaccines-are-coming/
As of today, you can Wishlist OpenTTD on SteamE. Historically, OpenTTD always had a single home from where we distributed the game. We used to be hosted on SourceForge (you know you are old, if you remember that being a thing :D), and slowly moved towards our own self-created distribution methods. These days, we mostly distribute our game via our website. But times are changing, and so is our hair. Over the last few months, we have silently been working to become a bit more visible in the world. Don’t worry, not for reasons you might think: OpenTTD has as many active users as it had in 2007. But more because we no longer think it is the right approach to only distribute via our own website. This became painfully apparent when we noticed other people post OpenTTD on some stores. They are not always updated with new releases, sometimes even slacking behind a few years. And maybe more important to us: we can not guarantee that the uploaded version is unmodified and is the version as we intended. So, instead of fighting it, why not turn around and join them! Why not release our own, verified, builds on those stores! And this is exactly what we have been working on lately. And when I say “we”, a bit ironic to me, I mean the two developers that are around longest (myself and orudge) ;) A while back orudge added OpenTTD to the Microsoft Store. And today, I am happy to announce we will be on SteamE too! Well, we are on Steam, but we haven’t released anything there yet (sorry that I got your hopes up, just to squash them right after :( ). This is partially because of how Steam works, but also because we know we can bring a better experience for Steam with our upcoming release. That brings me to the most exciting news: if everything goes as planned, we will release OpenTTD 1.11 on Steam on the first of April, 2021! And that is not even an April fools’ joke! You can already Wishlist OpenTTD today .. and till we release on Steam, you can find our game via our website ;)
As of today, you can Wishlist OpenTTD on SteamE. Historically, OpenTTD always had a single home from where we distributed the game. We used to be hosted on SourceForge (you know you are old, if you remember that being a thing :D), and slowly moved towards our own self-created distribution methods. These days, we mostly distribute our game via our website. But times are changing, and so is our hair. Over the last few months, we have silently been working to become a bit more visible in the world. Don’t worry, not for reasons you might think: OpenTTD has as many active users as it had in 2007. But more because we no longer think it is the right approach to only distribute via our own website.
Flatpak as a truly cross-distro application solution that works equally well and non-problematic for all
Corral. A., (2020). Scientific comment on "Tail risk of contagious diseases" Cornell University Physics and Society. Retrieved from: https://arxiv.org/abs/2007.06876
Marsh, S. (2020, December 4). Vaccine expert tells ministers: ‘Stop boasting and get public onboard’. The Guardian. https://www.theguardian.com/politics/2020/dec/04/advice-to-uk-ministers-stop-vaccine-boasting-and-get-public-onboard
Zhang, S. (2020, September 28). Vaccine Chaos Is Looming. The Atlantic. https://www.theatlantic.com/health/archive/2020/09/covid-19-most-complicated-vaccine-campaign-ever/616521/
Cyranoski, D. (2020). Arab nations first to approve Chinese COVID vaccine—Despite lack of public data. Nature, 588(7839), 548–548. https://doi.org/10.1038/d41586-020-03563-z
Serhan, Y. (2020, December 8). Vaccine Nationalism Is Doomed to Fail. The Atlantic. https://www.theatlantic.com/international/archive/2020/12/vaccine-nationalism-doomed-fail/617323/
CohenNov. 16, J., 2020, & Am, 7:00. (2020, November 16). ‘Just beautiful’: Another COVID-19 vaccine, from newcomer Moderna, succeeds in large-scale trial. Science | AAAS. https://www.sciencemag.org/news/2020/11/just-beautiful-another-covid-19-vaccine-newcomer-moderna-succeeds-large-scale-trial
A distribution group, is only designed to group accounts and contacts for email communication. You can't use distribution groups for assigning permission to resources.
Trias-Llimós, S., Alustiza, A., Prats, C., Tobias, A., & Riffe, T. (2020). The need for detailed COVID-19 data in Spain. The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30234-6
Dr Duncan Robertson on Twitter. (n.d.). Twitter. Retrieved October 12, 2020, from https://twitter.com/Dr_D_Robertson/status/1314544108547997703
Publishers who aren’t media partners with Facebook, Snapchat and Twitter, aren’t highlighted prominently on these platforms, don’t receive a heads up about new products and never have a direct line to support at these companies.
Looking at the relationship of authors, book publishers, and even the big 5 publishing companies provides a reasonable model for what all of this looks like down the road. All the publishers are generally screwed if they're reliant on one distributor which they don't control.
“Every Cambodian... including the King has the right to express freely their view.”
While I like the sentiment here, a lot of the power of the message comes from not only the medium, but the distribution which it receives. Many daily examples of "typical" annotation done by common people are done in a way that incredibly few will ultimately see the message. The fact that the annotations of the emperor were republished and distributed was what, in great part, gave them so much weight and value. Similarly here with the example of the King's blog or Alexandra Bell's work which was displayed in public. I hope there is more discussion about the idea of distribution in what follows.
Nkengasong, J. N., Ndembi, N., Tshangela, A., & Raji, T. (2020). COVID-19 vaccines: How to ensure Africa has access. Nature, 586(7828), 197–199. https://doi.org/10.1038/d41586-020-02774-8
Karatayev, Vadim A., Madhur Anand, and Chris T. Bauch. ‘Local Lockdowns Outperform Global Lockdown on the Far Side of the COVID-19 Epidemic Curve’. Proceedings of the National Academy of Sciences 117, no. 39 (29 September 2020): 24575–80. https://doi.org/10.1073/pnas.2014385117.
Torres, Irene, Osvaldo Artaza, Barbara Profeta, Cristina Alonso, and JaHyun Kang. ‘COVID-19 Vaccination: Returning to WHO’s Health For All’. The Lancet Global Health 0, no. 0 (25 September 2020). https://doi.org/10.1016/S2214-109X(20)30415-0.
Krapivsky, P. L. ‘An Infection Process near Criticality: Influence of the Initial Condition’. ArXiv:2009.08940 [Cond-Mat, Physics:Physics, q-Bio], 18 September 2020. http://arxiv.org/abs/2009.08940.
Graphs and maps from EUROMOMO. (n.d.). EUROMOMO. Retrieved September 18, 2020, from https://euromomo.eu/dev-404-page/
If rich countries monopolize COVID-19 vaccines, it could cause twice as many deaths as distributing them equally. (n.d.). Retrieved September 17, 2020, from https://news.northeastern.edu/2020/09/14/if-rich-countries-monopolize-covid-19-vaccines-it-could-cause-twice-as-many-deaths-as-distributing-them-equally/
Krista Fischer on Twitter. (n.d.). Twitter. Retrieved September 15, 2020, from https://twitter.com/kristafischer16/status/1305145951955423233
Kermack–McKendrick theory. (2020). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Kermack%E2%80%93McKendrick_theory&oldid=951835485
Put another way, a lot of the “low hanging fruit” in the US software market is now gone. Software in the US generally works. And new opportunities get swept up with would-be competitors immediately. If the 90s was about thinking through your build, the 2020s is about thinking through marketing & distribution.
The low hanging fruit in software markets is now gone in the US. New opportunities get swept up immediately. The 90s were about figuring out how to build it, the 2020s are about figuring out marketing & distribution.
Remote work distributes wealth into the whole system
I think there is potential to do that, but then you hear cases like how some companies have reduced the pay for remote workers based on the cost of living of the cities that they live in.
Bisin, A., & Moro, A. (2020). Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (Working Paper No. 27590; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27590
Modelling the Distributional Impact of the COVID-19 Crisis. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13235/
Exploring the Relationship between Care Homes and Excess Deaths in the COVID-19 Pandemic: Evidence from Italy. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13492/
Naudé, W. (2020). Entrepreneurial Recovery from COVID-19: Decentralization, Democratization, Demand, Distribution, and Demography. IZA Discussion Paper, 13436.
Liu, L., Moon, H. R., & Schorfheide, F. (2020). Panel Forecasts of Country-Level Covid-19 Infections (Working Paper No. 27248; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27248
Granja, J., Makridis, C., Yannelis, C., & Zwick, E. (2020). Did the Paycheck Protection Program Hit the Target? (Working Paper No. 27095; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27095
Chodorow-Reich, G., & Coglianese, J. (2020). Projecting Unemployment Durations: A Factor-Flows Simulation Approach With Application to the COVID-19 Recession (Working Paper No. 27566; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27566
The World’s Supply Chain Isn’t Ready for a Covid-19 Vaccine. (2020, July 25). Bloomberg.Com. https://www.bloomberg.com/news/articles/2020-07-25/the-supply-chain-to-save-the-world-is-unprepared-for-a-vaccine
Cruz, C. J. P., Ganly, R., Li, Z., & Gietel-Basten, S. (2020). Imported cases, community action, policy and institutional systems drive Hong Kong’s COVID-19 experience [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/5zuv7
Cohen, P. N. (2020). The COVID-19 epidemic in rural U.S. counties. https://doi.org/10.31235/osf.io/pnqrd
Lovato, J., Allard, A., Harp, R., & Hébert-Dufresne, L. (2020). Distributed consent and its impact on privacy and observability in social networks. ArXiv:2006.16140 [Physics]. http://arxiv.org/abs/2006.16140
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Probability Fact on Twitter: “Random phenomena are not obligated to follow one of the few dozen distributions that humans have given names to.” / Twitter. (n.d.). Twitter. Retrieved June 2, 2020, from https://twitter.com/probfact/status/1267204212972236808
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Derks, K., de swart, j., van Batenburg, P., Wagenmakers, E., & wetzels, r. (2020, April 28). Priors in a Bayesian Audit: How Integration of Existing Information into the Prior Distribution Can Increase Transparency, Efficiency, and Quality. Retrieved from psyarxiv.com/8fhkp
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So if you create one backup per night, for example with a cronjob, then this retention policy gives you 512 days of retention. This is useful but this can require to much disk space, that is why we have included a non-linear distribution policy. In short, we keep only the oldest backup in the range 257-512, and also in the range 129-256, and so on. This exponential distribution in time of the backups retains more backups in the short term and less in the long term; it keeps only 10 or 11 backups but spans a retention of 257-512 days.
the exponential distribution is the probability distribution of the time between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant average rate.
of power, let’s consider another type of annotation, written by a single author, and in response to a very different though equally important social and political circumstance.PoetryMaha Bali2 weeks agoAt this point, a thought crossed my mind related to Audrey Watters feeling like she did not want annotation to happen on her own website (but is happy to have it done outside her website if people wanted). I wonder if there is any value in unpacking that one here? Perhaps. perhaps not.
Ultimately Audrey Watters rescinded the Creative Commons license on her website, though I don’t think she ever mentioned specifically why she made that change (nor does she need to publicly state a reason) though it may have had something to do with annotations and/or harassment she experienced at the time.
I do remember thinking at the time she was looking at those decisions that in some sense by allowing annotations on her site, she was providing a platform and distribution for others to potentially harass her.
Some pieces of that extended conversation:
https://boffosocko.com/2017/05/10/un-annotated-by-audrey-watters/
https://blog.jonudell.net/2017/06/27/annotating-thoughts-on-annotation/
The initial promise of Web 2.0—that gatekeepers have their power reduced and that “ordinary” users can make media—is still true, even for for-profit firms such as Facebook and Twitter.
While this is generally true that everyone can now create, the real inequity is the fact that distribution is not equal for all players. We might also ask the question: Should distribution be equal for all?
Robin Sloan has an "essay" on this topic that mirrors my own long held distribution questions/problems: https://platforms.fyi/
In the years between 2004 and 2012, many media critics proclaimed a promising new mediascape of democratic production and thus democratic organization (Benkler, 2006; Bruns, 2008; Shirky, 2009)—precisely what alternative media theorists had been calling for in previous decades.
I note here that they mention production and organization, but there is a missing piece of "distribution". In large part, part of the problem with current corporate social media is one of how their content is distributed and the advertising model that drives what sorts of content are distributed.
We make our branded beverage products available to consumers throughout the world through our network of independent bottling partners, distributors, wholesalers and retailers as well as Company-owned or -controlled bottling and distribution operations — the world's largest beverage distribution system.
What happened is that Spotify dragged the record labels into a completely new business model that relied on Internet assumptions, instead of fighting them: if duplicating and distributing digital media is free (on a marginal basis), don’t try to make it scarce, but instead make it abundant and charge for the convenience of accessing just about all of it.
Thus, predicting species responses to novel climates is problematic, because we often lack sufficient observational data to fully determine in which climates a species can or cannot grow (Figure 3). Fortunately, the no-analog problem only affects niche modeling when (1) the envelope of observed climates truncates a fundamental niche and (2) the direction of environmental change causes currently unobserved portions of a species' fundamental niche to open up (Figure 5). Species-level uncertainties accumulate at the community level owing to ecological interactions, so the composition and structure of communities in novel climate regimes will be difficult to predict. Increases in atmospheric CO2 should increase the temperature optimum for photosynthesis and reduce sensitivity to moisture stress (Sage and Coleman 2001), weakening the foundation for applying present empirical plant–climate relationships to predict species' responses to future climates. At worst, we may only be able to predict that many novel communities will emerge and surprises will occur. Mechanistic ecological models, such as dynamic global vegetation models (Cramer et al. 2001), are in principle better suited for predicting responses to novel climates. However, in practice, most such models include only a limited number of plant functional types (and so are not designed for modeling species-level responses), or they are partially parameterized using modern ecological observations (and thus may have limited predictive power in no-analog settings).
Very nice summary of some of the challenges to using models of contemporary species distributions for forecasting changes in distribution.
In eastern North America, the high pollen abundances of temperate tree taxa (Fraxinus, Ostrya/Carpinus, Ulmus) in these highly seasonal climates may be explained by their position at the edge of the current North American climate envelope (Williams et al. 2006; Figure 3). This pattern suggests that the fundamental niches for these taxa extend beyond the set of climates observed at present (Figure 3), so that these taxa may be able to sustain more seasonal regimes than exist anywhere today (eg Figure 1), as long as winter temperatures do not fall below the −40°C mean daily freezing limit for temperate trees (Sakai and Weiser 1973).
Recognizing where species are relative to the observed climate range will be important for understanding their potential response to changes in climate. This information should be included when using distribution models to predict changes in species distributions. Ideally this information could be used in making point estimates, but at a minimum understanding its impact on uncertainty would be a step forward.
One implication of the naturalness with which we divide cognitive labor,” they write, is that there’s “no sharp boundary between one person’s ideas and knowledge” and “those of other members” of the group.
To simulate equilibrium sagebrush cover under projected future climate, we applied average projected changes in precipitation and temperature to the observed climate time series. For each GCM and RCP scenario combination, we calculated average precipitation and temperature over the 1950–2000 time period and the 2050–2098 time period. We then calculated the absolute change in temperature between the two time periods (ΔT) and the proportional change in precipitation between the two time periods (ΔP) for each GCM and RCP scenario combination. Lastly, we applied ΔT and ΔP to the observed 28-year climate time series to generate a future climate time series for each GCM and RCP scenario combination. These generated climate time series were used to simulate equilibrium sagebrush cover.
This is an interesting approach to forecasting future climate values with variation.
Given short-term variability may be important, that it is not the focus of the long-term GCM models, and that the goal here is modeling equilibrum (not transitional) dynamics, this seems like a nice compromise approach to capture both long-term and short-term variation in climate.
Our process model (in Eq. (2)) includes a log transformation of the observations (log(yt − 1)). Thus, our model does not accommodate zeros. Fortunately, we had very few instances where pixels had 0% cover at time t − 1 (n = 47, which is 0.01% of the data set). Thus, we excluded those pixels from the model fitting process. However, when simulating the process, we needed to include possible transitions from zero to nonzero percent cover. We fit an intercept-only logistic model to estimate the probability of a pixel going from zero to nonzero cover: yi∼Bernoulli(μi)(8)logit(μi)=b0(9)where y is a vector of 0s and 1s corresponding to whether a pixel was colonized (>0% cover) or not (remains at 0% cover) and μi is the expected probability of colonization as a function of the mean probability of colonization (b0). We fit this simple model using the “glm” command in R (R Core Team 2014). For data sets in which zeros are more common and the colonization process more important, the same spatial statistical approach we used for our cover change model could be applied and covariates such as cover of neighboring cells could be included.
This seems like a perfectly reasonable approach in this context. As models like this are scaled up to larger spatial extents the proportion of locations with zero abundance will increase and so generalizing the use of this approach will require a different approach to handling zeros.
Our approach models interannual changes in plant cover as a function of seasonal climate variables. We used daily historic weather data for the center of our study site from the NASA Daymet data set (available online: http://daymet.ornl.gov/). The Daymet weather data are interpolated between coarse observation units and capture some spatial variation. We relied on weather data for the centroid of our study area.
This seems to imply that only a single environmental time-series was used across all of the spatial locations. This is reasonable given the spatial extent of the data, but it will be necessary to allow location specific environmental time-series to allow this to be generalized to large spatial extents.
Because SDMs typically rely on occurrence data, their projections of habitat suitability or probability of occurrence provide little information on the future states of populations in the core of their range—areas where a species exists now and is expected to persist in the future (Ehrlén and Morris 2015).
The fact that most species distribution models treat locations within a species range as being of equivalent quality for the species regardless of whether there are 2 or 2000 individuals of that species is a core weakness of the occupancy based approach to modeling these problems. Approaches, like those in this paper, that attempt to address this weakness are really valuable.
An open source infrastructure for a centralized network now provides almost the same level of control as federated protocols, without giving up the ability to adapt. If a centralized provider with an open source infrastructure ever makes horrible changes, those that disagree have the software they need to run their own alternative instead. It may not be as beautiful as federation, but at this point it seems that it will have to do. Tweet
I'm not sure if this comparison is really working: What if I really take the Signal software, because I have reasons to do so. How can I stay upstream compatible, if "upstream" means the master branch of Open Whisper Systems? There soon will be two communities at least for me: the one that I left behind and the one that went with me to the new installation. But how can they communicate with each other? With the installation of the second instance the "Signal" communication has become distributed in a way except for the two instances cannot talk to each other. As moxie0 says above: "When someone recently asked me about federating an unrelated communication platform into the Signal network, I told them that I thought we'd be unlikely to ever federate with clients and servers we don't control."
This reduced user friction has begun to extend the implicit threat that used to come with federated services into centralized services as well. Where as before you could switch hosts, or even decide to run your own server, now users are simply switching entire networks. In many cases that cost is now much lower than the federated switching cost of changing your email address to use a different email provider.
There it is again: convenience as the main driver for the ecosystem to develop.
The "cost" mentioned here is the freedom of not having to send my personal social graph to a server that might belong to someone else tomorrow.
The two things compared do not fit: Switching networks on the basis of a phone number can be compared to switching similar services with the equivalent of an email address. And changing your email provider can be compared to changing your phone company without being able to take your phone number with you.
If anything, protecting meta-data is going to require innovation in new protocols and software. Those changes are only likely to be possible in centralized environments with more control, rather than less. Just as making the changes to consistently deploy end to end encryption in federated protocols like email has proved difficult, we're more likely to see the emergence of enhanced metadata protection in centralized environments with greater control.
This is just true under the premise of a quickly moving ecosystem and does not need to be necessarily the case in general. A quickly moving ecosystem can be found in the field of social media e.g. But, on the other side, a "moving ecosystem" can also be seen in the global surveillance structures that put a pressure on developers to react quickly. This can also be seen as the competition here.
What if the protocol is federated, but the development of the app that implements that protocol is centralized?
It creates a climate of uncertainty, never knowing whether things will work or not.
This is not a technological problem but a social one in the first place. It demands new solutions to reduce uncertainty. The automatic update mechism of Let'sEncrypt! might be a hint to what we should look at.
If XMPP is so extensible, why haven't those extensions quickly brought it up to speed with the modern world?
Is extensibility the only paradigm for updating protocols alongside the moving ecosystem? Regarding other open source tools like Wordpress the update mechanisms are more convenient (although update happen too often with WP).
A recorded album can be just the same 20 years later, but software has to change.
Concerning a physical record or tape that's correct. But if you look at the cover versions of songs of the past, it is obvious that there is the desire to reinterpret them, to hear the musical idea of a song in the contemporary cultural context. Thus, "cover protocols" are the reinterpretation and reimplementation of a protocol idea. No one would say, a cover song is an update of the original song. It is a concurrent version, a concurrent implementation of a musical idea and can be understood knowing the original or not. Certainly, music is not software, but if the code is the foundation for software, notes are the foundation for music.
My thoughts on Climatic Associations of British Species Distributions Show Good Transferability in Time but Low Predictive Accuracy for Range Change by Rapacciuolo et al. (2012).
Whilst the consensus method we used provided the best predictions under AUC assessment – seemingly confirming its potential for reducing model-based uncertainty in SDM predictions [58], [59] – its accuracy to predict changes in occupancy was lower than most single models. As a result, we advocate great care when selecting the ensemble of models from which to derive consensus predictions; as previously discussed by Araújo et al. [21], models should be chosen based on aspects of their individual performance pertinent to the research question being addressed, and not on the assumption that more models are better.
It's interesting that the ensembles perform best overall but more poorly for predicting changes in occupancy. It seems possible that ensembling multiple methods is basically resulting in a more static prediction, i.e., something closer to a naive baseline.
Finally, by assuming the non-detection of a species to indicate absence from a given grid cell, we introduced an extra level of error into our models. This error depends on the probability of false absence given imperfect detection (i.e., the probability that a species was present but remained undetected in a given grid cell [73]): the higher this probability, the higher the risk of incorrectly quantifying species-climate relationships [73].
This will be an ongoing challenge for species distribution modeling, because most of the data appropriate for these purposes is not collected in such a way as to allow the straightforward application of standard detection probability/occupancy models. This could potentially be addressed by developing models for detection probability based on species and habitat type. These models could be built on smaller/different datasets that include the required data for estimating detectability.
an average 87% of grid squares maintaining the same occupancy status; similarly, all climatic variables were also highly correlated between time periods (ρ>0.85, p<0.001 for all variables). As a result, models providing a good fit to early distribution records can be expected to return a reasonable fit to more recent records (and vice versa), regardless of whether relevant predictors of range shift have actually been captured. Previous studies have warned against taking strong model performance on calibration data to indicate high predictive accuracy to a different time period [20], [24]–[26]; our results indicate that strong model performance in a different time period, as measured by widespread metrics, may not indicate high predictive accuracy either.
This highlights the importance of comparing forecasts to baseline predictions to determine the skill of the forecast vs. the basic stability of the pattern.
Most variation in the prediction accuracy of SDMs – as measured by AUC, sensitivity, CCRstable, CCRchanged – was among species within a higher taxon, whilst the choice of modelling framework was as important a factor in explaining variation in specificity (Table 4 and Table S4). The effect of major taxonomic group on the accuracy of forecasts was relatively small.
This suggests that it will be difficult to know if a forecast for a particular species will be good or not, unless a model is developed that can predict which species will have what forecast qualities.
The correct classification rate of grid squares that remained occupied or remained unoccupied (CCRstable) was fairly high (mean±s.d. = 0.75±0.15), and did not covary with species’ observed proportional change in range size (Figure 3B). In contrast, the CCR of grid squares whose occupancy status changed between time periods (CCRchanged) was very low overall (0.51±0.14; guessing randomly would be expected to produce a mean of 0.5), with range expansions being slightly better predicted than range contractions (0.55±0.15 and 0.48±0.12, respectively; Figure 3C).
This is a really important result and my favorite figure in this ms. For cells that changed occupancy status (e.g., a cell that has occupied at t_1 and was unoccupied at t_2) most models had about a 50% chance of getting the change right (i.e., a coin flip).
The consensus method Mn(PA) produced the highest validation AUC values (Figure 1), generating good to excellent forecasts (AUC ≥0.80) for 60% of the 1823 species modelled.
Simple unweighted ensembles performed best in this comparison of forecasts from SDMs for 1823 species.
Quantifying the temporal transferability of SDMs by comparing the agreement between model predictions and observations for the predicted period using common metrics is not a sufficient test of whether models have actually captured relevant predictors of change. A single range-wide measure of prediction accuracy conflates accurately predicting species expansions and contractions to new areas with accurately predicting large parts of the distribution that have remained unchanged in time. Thus, to assess how well SDMs capture drivers of change in species distributions, we measured the agreement between observations and model predictions of each species’ (a) geographic range size in period t2, (b) overall change in geographic range size between time periods, and (c) grid square-level changes in occupancy status between time periods.
This is arguably the single most important point in this paper. It is equivalent to comparing forecasts to simple baseline forecasts as is typically done in weather forecasting. In weather forecasting it is typical to talk about the "skill" of the forecast, which is how much better it does than a simple baseline. In this case the the baseline is a species range that doesn't move at all. This would be equivalent to a "naive" forecast in traditional time-series analysis since we only have a single previous point in time and the baseline is simply the prediction based on this value not changing.
Although it is common knowledge that some of the modelling techniques we used (e.g., CTA, SRE) generally perform less well than others [32], [33], we believe that their transferability in time is not as well-established; therefore, we decided to include them in our analysis to test the hypothesis that simpler statistical models may have higher transferability in time than more complex ones.
The point that providing better/worse fits on held out spatial training data is not the same was providing better forecasts is important especially given the argument about simpler models having better transferability.
We also considered including additional environmental predictors of ecological relevance to our models. First, although changes in land use have been identified as fundamental drivers of change for many British species [48]–[52], we were unable to account for them in our models – like most other published accounts of temporal transferability of SDMs [20], [21], [24], [25] – due to the lack of data documenting habitat use in the earlier t1 period; detailed digitised maps of land use for the whole of Britain are not available until the UK Land Cover Map in 1990 [53].
The lack of dynamic land cover data is a challenge for most SDM and certainly for SDM validation using historical data. If would be interesting to know, in general, how much better modern SDMs become based on held out data when land cover is included.
Great Britain is an island with its own separate history of environmental change; environmental drivers of distribution size and change in British populations are thus likely to differ somewhat from those of continental populations of the same species. For this reason, we only used records at the British extent to predict distribution change across Great Britain.
This restriction to Great Britain for the model building is a meaningful limitation since Great Britain will typically represent a small fraction of the total species range for many of the species involved. However this is a common issue for SDMs and so I think it's a perfectly reasonable choice to make here given the data availability. It would be nice to see this analysis repeated using alternative data sources that cover spatial extents closer to that of the species range. This would help determine how well these results generalize to models built at larger scales.
advocate for the preservation, archiving, and free c
This is a really important question about the relative invisibility of e-lit. Distribution tends to rely on models which mimic academia and fandom - funny linking those two I suppose.
Distribution of departments with respect to responsibility spheres. Ignoring the "Myself" choice, consider clustering the parties potentially responsible for curation mentioned in the survey into three "responsibility spheres": "local" (comprising lab manager, lab research staff, and department); "campus" (comprising campus library and campus IT); and "external" (comprising external data repository, external research partner, funding agency, and the UC Curation Center). Departments can then be positioned on a tri-plot of these responsibility spheres, according to the average of their respondents' answers. For example, all responses from FeministStds (Feminist Studies) were in the campus sphere, and thus it is positioned directly at that vertex. If a vertex represents a 100% share of responsibility, then the dashed line opposite a vertex represents a reduction of that share to 20%. For example, only 20% of ECE's (Electrical and Computer Engineering's) responses were in the campus sphere, while the remaining 80% of responses were evenly split between the local and external spheres, and thus it is positioned at the 20% line opposite the campus sphere and midway between the local and external spheres. Such a plot reveals that departments exhibit different characteristics with respect to curatorial responsibility, and look to different types of curation solutions.
This section contains an interesting diagram showing the distribution of departments with respect to responsibility spheres:
http://www.alexandria.ucsb.edu/~gjanee/dc@ucsb/survey/plots/q2.5.png