这个引用提到了30多项研究和21项具体保护措施，表明作者基于相当数量的科学研究提出了认知保护建议。30+的研究数量提供了足够的科学依据支持其观点，21项具体措施则提供了实用的行动指南，显示了AI对人类认知影响研究的系统性进展。

这个案例展示了AI系统在自动化研究中的应用，5分钟的增量优化时间是一个精细的时间尺度，表明AI系统已经能够进行快速迭代的实验。61K+的GitHub星标表明这种方法在AI研究社区中引起了广泛关注。

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Research effort overvalued

Most prioritize AI research effort for progress, but author shows compute scaling contributes more, potentially overvaluing R&D.

大多数人认为人类可读的论文同样适合AI理解，但作者认为传统论文对人类读者是可容忍的，但对AI理解研究过程却造成了'工程税'，这反映了当前学术出版系统在AI时代的不适应性。

大多数人认为科学论文完整记录了研究过程，但作者认为传统科学论文实际上丢弃了大部分发现，只呈现线性叙事，这构成了所谓的'故事税'。这种观点挑战了学术界对出版物完整性的普遍认知。

初学者应关注如何通过提供产品、工具和数据集来构建更协作的研究生态系统。

初学者应学习如何将研究成果开放给社区，并应用于实际产品中，这是促进研究发展的关键。

初学者应理解基础研究和应用研究在推动计算机科学进步中的同等重要性。

初学者可能容易忽略不同类型研究的重要性，以及不同时间尺度和风险水平对研究环境的影响。

需要了解哪些AI工具被批准用于研究，以及这些工具如何辅助记者进行研究。

文章使用'十个程序员'的例子来说明AI使用方式的多样性，这是一个具体的样本数量。这个数字虽然小，但有效地说明了开发社区对AI工具的态度差异。这种表述方式简洁有力，但缺乏更大规模的调研数据来支持这一观察。

大多数人认为严肃的数学研究需要严谨的方法和深厚的专业知识，但作者使用'vibe mathing'这种非正式术语描述这种研究方式，挑战了学术研究方法论的传统规范。

文章提到模型基于ICLR 2026论文，并已大幅改进方法和用户体验，但没有具体说明改进的幅度或基准数据。此处缺乏量化依据，无法评估从研究原型到商业产品的改进程度。

大多数人认为AI在数学研究领域仅能辅助计算或提供解释，无法独立进行创造性数学推理。但作者展示GPT-5.5能够发现并证明数学定理，这一突破挑战了数学研究作为纯粹人类活动的传统观念，暗示AI可能成为真正的'研究伙伴'而非仅是工具。

大多数人认为AI在数学研究中的作用主要是辅助计算和验证，但作者认为GPT-5.5能够独立发现数学证明，这在数学研究领域是革命性的。这一观点挑战了人们对AI在创造性思维和抽象推理领域能力的传统认知，暗示AI可能正在从工具转变为研究伙伴。

大多数人认为实验室病原体研究存在特殊风险，但作者认为这种研究是常规且必要的，暗示实验室泄漏问题被过度政治化。这一观点挑战了公众对生物安全风险的普遍担忧。

大多数人认为AI在科学研究中只是辅助工具，而作者认为AI将从根本上改变科学研究的结构和方式。这一观点与主流认知相悖，因为它暗示AI不仅是提高效率的工具，而是会重塑科学发现、合作和发表的本质。

这一发现挑战了Anthropic试图构建的叙事：即高级AI安全研究需要受限访问。研究表明，公共模型已经能够复制关键的安全发现，这意味着真正的'护城河'不是模型访问，而是验证、优先排序和操作化的能力。这打破了'只有前沿实验室才能进行高级AI安全研究'的神话。

这一数据对比揭示了AI领域的一个令人惊讶的不平衡：巨额资金投入到构建更强大的AI系统，而用于理解这些系统如何工作的投资却微不足道。这种不平衡发展可能导致我们拥有强大但不透明的AI武器系统，而对其运作机制知之甚少。

大多数人可能认为人工智能在办公室工作中的应用仅限于数据处理，但作者提出，多智能体工具甚至可以用于研究工作，如文献搜索和实验设计。

I've been doing this for many years and there are only a tiny few of us, beyond professional document examiners, who might care enough to delve into these questions.

A few things to consider:

You're more likely to find solid advice from typeface historians than you are SCM historians. You're also likely to find better advice on this topic in the more specialized fora like https://typewriter.boardhost.com/ or the typewriter discord https://discord.gg/UzaREHJnX

You're better off using the exemplars from the catalogs (several .pdfs in the TWdb when you're logged in, or on munk.org in scanned photo format). The photos and identifications in the individual galleries of the database are USER IDENTIFIED and aren't always the most consistent as a result. Knowing some of the bigger, more knowledgeable collectors on the database and who knows what best or who has studied areas the most is incredibly helpful here. (Several of your examples are via James Grooms, who is a significant collector and generally does solid identifications, provides photos of slugs and foundry marks, but still often asks for confirmations of typeface identifications in the various fora.)

The foundry marks on the numerals for most machines are very often are different from those of the alphabet so you may find that particular machines used something like Pica No. 1 for the letters but something different, but potentially close for the numbers.

The slugs and designs for the number one are often the least reliable over time as it was often left off of machines entirely until the 60s or 70s. Even when a foundry specifically designed this numeral, many manufacturers left it off their machines though they often put an exemplar for it into their catalogs. Thus when you compare, you may be comparing the lowercase letter "L" in exemplars for individual machines. In particular, I've seen examples recently for Royal who had the number 1 in their catalogs, but almost never had a key on the machine for it and either relied on the user using the "L" or in cases of double gothic faces the letter "I", and as a result, you'll never find an exact "match" between the two.

An exact determination is highly unlikely to change the value of your particular machine in the slightest.

It would be nice if the Typewriter Database encouraged people to upload photos of their slugs and foundry marks specifically and had data fields for identifying the typefaces as well as fields for which sources they used to provide those identifications.

The level of resources and knowledge in this area means that it's incumbent on you to do your own research and come to your own conclusions based on what is broadly available in terms of original catalogs and exemplars in the wild. This being said, the only way the state of the art changes is for people who do this sort of research to publish it with their lines of reasoning on their own websites, here on Reddit, or other typewriter related fora.

Reply to u/frankinreddit at https://old.reddit.com/r/typewriters/comments/1sskes0/smithcorona_id_help_are_these_actually_pica_no_1/

In order to better complete the study, we published the previously written research protocol after peer review. We will update this study according to the research protocol in the future.

Title: The role of inflammation in depression: a scoping review protocol in mechanisms, evidence, and therapeutic potential

Author: Yan Bo

Journal: Research Connections

DOI: https://doi.org/10.1093/rescon/vmag006

Date: 21 March 2026

Version: 1.1755.0 User Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36 URL: https://www.medrxiv.org/content/10.1101/2024.12.31.24319839v3 Fingerprint: N/A Account: thoseformylovedpeople (acct:thoseformylovedpeople@hypothes.is) Date: Mon Apr 20 2026 04:19:40 GMT+0800

将AI描述为'编排层'而非简单工具，体现了AI在科学研究中角色的根本转变。这暗示未来科学家可能更像AI系统的指挥者，而非直接执行者，重塑科研工作流程。

这一观点挑战了传统认知，指出科学进步的主要瓶颈可能不是科学本身的难度，而是研究流程的复杂性。这暗示了优化工作流程可能比增加科学知识更能推动进步。

研究承认缺乏具体任务细节的局限性，但提供了全国代表性的任务级别变化快照。这一坦诚的局限性提醒我们，虽然数据揭示了宏观趋势，但理解AI如何具体改变工作性质需要更细致的任务级别研究。这为未来研究指明了方向，强调了微观层面研究的重要性。

这是一个令人惊讶的声明，表明Claude Code的Routines功能仍处于研究阶段，意味着用户在使用时可能会遇到不稳定性和API变化。这暗示了Anthropic正在快速迭代这个功能，但也提醒用户不要在生产环境中过度依赖它。

令人惊讶的是：Claude Code 的 Routines 功能目前仍处于研究预览阶段，这意味着用户使用的功能可能会在未来发生重大变化。这种状态表明 Anthropic 仍在测试和完善这一自动化工作流程的功能，用户应预期到可能的不稳定性和API变更。

这一声明揭示了AI代理在代码优化中的关键局限：仅基于代码的优化会产生浅显的假设。通过引入研究阶段，包括阅读学术论文、研究竞争项目和后端实现，代理能够发现更深层次的优化机会，实现了显著的性能提升。这表明AI代理需要更广泛的上下文信息才能做出有意义的创新。

令人惊讶的是，Meta声称他们重建的预训练栈只需要Llama 4 Maverick十分之一的计算量就能达到同等能力。这一效率提升是惊人的，表明AI模型训练可能正在经历一个范式转变，从单纯增加计算资源转向优化算法和架构。这可能会对整个AI行业的成本结构和竞争格局产生深远影响。

令人惊讶的是：GLM-5模型拥有186位作者，这表明现代AI研究已经发展成大规模协作的工程科学，而非个人天才的产物。这种集体智慧的组织形式本身就是AI领域发展的一个惊人事实。

通过评审后主动撤稿——这个决定令人感到既欣慰又不安。欣慰：Sakana AI 展示了负责任的研究伦理；不安：如果换一个不那么有道德感的团队，这篇 AI 生成的论文本可以悄悄混入正式出版的学术文献库。同行评审制度目前对 AI 生成内容几乎没有系统性防御，这是整个学术界的集体盲点。

经济学家呼吁以“曼哈顿计划”的规模来收集各行业价格弹性数据，凸显了当前AI经济研究的底层基础设施极度匮乏。没有跨经济体的系统性微观数据支撑，任何关于AI就业前景的预测都是盲人摸象，政策制定更是无从谈起。

将蒙特卡洛树搜索（MCTS）——一个 AlphaGo 时代的博弈 AI 技术——应用于商业调研推理，这个跨领域迁移令人惊讶。MCTS 的本质是在不确定的巨大搜索空间中，通过「探索-利用」平衡找到最优路径。商业研究的本质也是如此：在无数假设和信息源中，判断哪条线索值得深挖。Sakana 用博弈论的搜索框架重新定义了研究工作流——这在学术上已被 NeurIPS 2025 认可为 Spotlight 级贡献。

8 小时自主研究，最终输出结构化 PPT + 数十页完整报告——这个任务时长与 METR 的「时间地平线」框架高度吻合：8 小时恰好是当前顶级 AI Agent 能可靠完成的任务上限。Sakana 选择这个时长不是偶然，而是经过能力校准的精准产品设计——他们在构建一个刚好在当前 AI 能力边界内的产品。

大多数人认为AI研究助手应该专注于提供快速、直接的答案，但作者强调复杂研究需要完整的'从想法到结构化报告'的完整过程。这与当前AI助手追求即时回答的主流认知相悖，暗示了质量比速度更重要，这是一个非共识的AI应用观点。

大多数人认为AI应该追求更快的响应速度和更高的效率，但作者认为AI应该'长时间深度思考'才能产生更好的输出。这与当前AI行业追求即时响应的主流认知相悖，提出了一个反直觉的观点：计算效率的提升反而应该用于增加思考深度而非速度。

相关工作「上下文拖拽」（Contextual Drag）的存在，说明这个研究方向正在快速形成：不只是「无关上下文缩短推理」，还有「错误上下文拖拽推理方向」。两篇论文合在一起暗示了一个新的研究领域：「上下文污染对推理模型的系统性影响」。对 AI Agent 的工程实践者而言，这意味着上下文管理策略（截断、摘要、过滤）将成为保障推理质量的核心工程能力，而非仅仅是 token 节省手段。

「推理行为的鲁棒性尚未被充分探索」——这句话是整个推理模型研究领域的集体盲点声明。过去两年，测试时计算（test-time compute）、长思维链（CoT）、o1/R1 类推理模型吸引了巨大关注，但几乎所有评测都在「孤立问题」环境下进行。在真实 Agent 部署场景中，「能否保持推理深度」这个最基本的可靠性问题，直到这篇论文才开始被系统研究。

一个 2 小时的桌游式推演，三位顶级 AI 安全研究员给出了 9-11 分的评价——这本身就是一个信号：严肃的 AI 研究机构正在用「角色扮演」的方式准备未来。这种方法论（预演未来能力下的工作流）在其他领域有先例——军事桌游、灾难演习、情景规划——但将其用于 AI 能力演进，是 METR 独特的研究品味的体现。

【启发】这句话提示了一种全新的 AI 研究范式：与其问「模型能做什么」，不如问「模型为什么这样做」。把情绪作为切入口去理解模型行为，本质上是把心理学方法论引入了 AI 可解释性研究。这对从业者的启发是：未来最有价值的 AI 研究，可能不在算法创新，而在「为已知现象寻找机制性解释」——就像这篇论文做的那样。

这篇论文的问题意识本身就极具洞察：大多数 AI 安全研究在追问「模型会不会说谎」，Anthropic 却在追问「模型为什么有情绪」。从「行为纠偏」转向「情绪机制」，意味着对齐研究的范式正在悄然转移——从控制外部输出，到理解内部动机结构，这是从行为主义到认知科学的跨越。

大多数人认为先进的视频理解模型通常会被商业公司保留作为专有技术，但作者选择开源模型和实时推理框架。这一反直觉的决策挑战了AI研究中常见的封闭做法，表明作者更注重推动领域发展而非商业利益，这可能加速整个视频理解领域的技术进步。

在当今AI创业公司追求快速变现的环境中，作者认为AMI Labs正在进行的是基础研究，而非产品开发。这与大多数AI初创公司的商业模式背道而驰，暗示真正的AI突破需要长期投入而非短期商业考量。

在当今追求快速商业化的AI环境中，大多数人认为AI研究应该迅速转化为产品。但作者指出AMI Labs正在进行基础研究，而非直接开发产品，这一观点挑战了科技行业对即时商业化的普遍期待，强调了基础研究的重要性。

大多数AI研究倾向于将控制、记忆和验证视为独立的问题领域，分别进行研究。但作者认为这种分离研究方法是有缺陷的，因为它们在自然系统中（如松鼠）是紧密耦合的。这一观点挑战了当前AI研究的分割方法，暗示未来的AI系统需要更综合的方法来同时处理这些相互关联的需求。

大多数人认为Google会将其最先进技术保留在专有Gemini模型中，而开源版本会有所降级。但作者声称Gemma 4与Gemini 3使用'相同的世界级研究和技术'，挑战了'开源版本是次级产品'的普遍认知。

大多数人认为AI安全研究应该是高度理论化和抽象的，但作者强调需要实证基础和技术强度，这表明OpenAI正在将AI安全研究从纯理论领域转向更注重实际应用和可验证成果的方向，这与传统AI安全研究的精英主义倾向形成对比。

Change is hard. Some barriers are more controllable than others. "Limited understanding" and "lack of standardization in credential 'currency'" are two challenges with huge influence and that could be quickly and inexpensively addressed.

If we are passionate about lifelong learning, 3 of 10 saying that we market to alumni for MCs is a big sign of disconnect in institutional strategy.

Only 16% said that MCs have "total alignment with strategic plan." If leaders believe this is the future, and UPCEA research is that this stuff needs to be in the strategic plan, this is a key finding.

Again, the people who seem to be most proficient, are also most likely to see the reality of legacy HE thinking that, according to data here and in other reports, is not just disconnected from external audiences, but often seemingly unconcerned with asking external constituents "How do I look?" I think a prevailing vibe is that many research universities have a sort of High School Hot Girl Syndrome, assuming that they are desired based on surface-level perceptions and always will be.

Possible indication that the people who know the most about credential innovation, who bring POV that's closer to balcony views than lane views, and who are likely of disproportional value to support institutional strategy, are under-utilized human resources. When it comes to campus strategy, leadership, implementation, and general decision-making related to credential innovation, about 50% of the people at 4-year institutions who should be at the table say they are "not very or not at all involved." Worth noting that at 2-year institutions, where credential innovation is trending in more inspiring directions, 73% are "extremely or very involved." **This could be a key metric. **

Perception vs Reality disconnect. Why? My guess is huge gaps in understanding of the Fundamentals.

In 2021, the question would have been interpreted differently. 61% is probably still lower than it should be.

Comment by Janneke_Adema: Comment by postoccupant: Vote for UniverCity!

I've proposed a workshop to the Future Architecture platform, organised by the Museum of Architecture and Design, Ljubljana. The idea is that the ideas arising from the UniverCity forum can be worked through in discussion about the possibility of a future form of architectural visualisation not tied down to images of completed buildings. Renderings of unpredictability, of occupation, of diverse public knowledges. Vote online: and browse the other projects too.

Comment by Janneke_Adema: Comment by drneilfox: Hello. This is my first entry. Dario and I plan to create a podcast that has three elements:

1) A formal exploration of the podcast form using our own podcast as a case study. 2) A discussion around academic research and the podcast. 3) A discussion around the 'disruptive journal' featuring input from JMP contributors.

The aim is to construct a text that operates as a viable and valid piece of research and also is reflexive regarding the changing nature of academic research.

We will be talking in person late July following some leave and will be emailing disruptive JMP participants shortly to invite them to participate.

For now I listening to podcasts to prepare, and recommend the latest NPR Invisibilia episode on problem solving, and any episode of the brilliant Longford Podcast.

Comment by Janneke_Adema: Comment by postoccupant: Just posting here to share this content about academia and Twitter... some good links to further discussion of digital academia...

'Digital platforms, from Twitter and personal blogs to e-journals and iterative monographs, are creating new ways to publish and new publishing opportunities. In this new model of academic publishing, Twitter interactions exist on the same spectrum of activity as peer-review and scholarly editing. But more importantly, new models for scholarly publication are creating new ways to engage in public scholarship beyond traditional publication, fundamentally blurring the boundaries between publication, conversation, and community.'

http://www.digitalpedagogylab.com/hybridped/beyond-academic-twitter/

CLR resources

Sarah A. Bendall FRHistS is a senior lecturer at the Gender and Women's History Research Centre in the Institute for Humanities and Social Sciences. She is a material culture historian whose research examines the roles of women in the production, trade and consumption of global commodities and fashionable consumer goods between 1500-1800. She has particular expertise in seventeenth-century dress and recreative methodologies, such as historical dress reconstruction.

Sarah was awarded her PhD from the University of Sydney. During her doctoral research she was a visiting research student at Kings College London. Prior to joining ACU, she held positions at the University of Western Australia, the University of Sydney and the University of Melbourne. She has been awarded fellowships from The Bodleian Libraries at the University of Oxford, the Folger Shakespeare Library and the Powerhouse Museum. She was also co-investigator on the UK Arts and Humanities Research Council's Making Historical Dress Network grant (2023-5).

via https://www.linkedin.com/posts/cehidalgo_ai-research-academicpublishing-activity-7428445791087857665-5ECy/

https://jaigp.org/ <br /> The Journal for AI Generated Papers<br /> "Proceedings of productive uncertainty."

test

https://peterhotez.org/<br /> Peter Hotez

on llms in qualitative research: the only winning move is not to play

" KEYS TO THE LIBRARY " 1950s EDUCATIONAL FILM CARD CATALOGS, ENCYCLOPEDIAS & DEWEY DECIMAL XD71644<br /> by [[Periscope Film]] on YouTube<br /> accessed on 2026-01-04T15:53:51

Movement from index cards to wikis in early 2002 by Manfred Kuehn.

Some observations on digital note taking with an app from someone who'd previously spent time using card indexes.

Rugg, Gordon and Petre, Marian. 2020. The Unwritten Rules of PhD Research. 3rd ed. Open University Press.

Only three mentions of index cards here...

It's almost as if they're suggesting putting ideas onto index cards after-the-fact rather than from the start as older manuals would have suggested. This would seem to add a huge amount of work to the process.

Presumably (is there a way to check), Luhmann gave this lecture while he was teaching from 1965-68 in his position at the Sozialforschungsstelle an der Universität Münster (Social Research Centre of the University of Münster).

for - Rammed Earth

for - building - rammed earth - research - Lehm Ton Erde Factory - rammed earth research - to - Lehm Ton Erde - https://hyp.is/wUejiNp7EfCkV88qE6w2Ng/www.lehmtonerde.at/en/products/wall/

for - Our World in Data - discredited website - mix legitimate with illegitimate research to advance a biased ideology

for - progress trap - nitrogen for fertilizers - anthropocene research - releases lots of methane - climate crisis - leverage point - replacing nitrogen fertilizers

Even before they were actually portable, a key benefit was rooted in portability and verifiability (and, to what purpose: "flexible and accessible way to recognize and communicate skills"). That is the WHY. And that ethos has been lost (or never acquired) by too many. There could be opportunity to refocus and zoom way in on the why and the key benefits.

Study's findings are limited by narrow participant sample, reliance on visual-only stimuli, lack of control for landscape openness, restricted environmental scenarios, and absence of true physiological baseline. Future research should include more diverse participants, multi-sensory or real world environments, and stronger methodological controls

Gender and grade level had no effect on systolic BP recovery. The only major-related difference was that landscape/environmental majors showed a significantly larger SBP reduction than non-environment majors when viewing desert landscapes, but not for any other landscape type.

This study shows that visual exposure to natural environments, especially forests and water, produces measurable physiological relaxation: • nature images lower systolic BP • forest images lower diastolic BP • water images lower HR Suggests that different types of natural scenes have different calming effects, and body overall responds physiologically to nature in ways that promote relaxation and reduce stress.

Hypotheses presented for study.

This is the perfect quote to use in my proposal! The top scientists at McMaster are literally saying that to understand the plague, I need the historical and social context alongside the genetic data.

This explains the scientific limitation that creates the big debate. Since the plague genome evolves so slowly, they can't even tell where it started!

This is the technical explanation for the famous "blocked flea" which is the key to the rat theory. The biofilm is what clogs the flea's gut and forces it to bite more.

This is a great detail for my argument! The article calls the flea jump a "recent evolutionary adaptation." This suggests the mechanism might have been imperfect or inefficient in the 14th century, which actually strengthens the argument against the rat-flea model being the sole cause of the Black Death's incredibly fast spread. It provides scientific backing for why I need to seriously consider the human ectoparasite model and not just discard it immediately.

This is the whole mechanism behind the classic rat-flea theory that my map needs to test. The article is basically saying the history of the plague is tied to this interaction. When I map the spread, I have to remember that this theory relies on a slow, multi-step process involving rats and fleas, which is the main reason I'm testing it against the faster human-to-human transmission idea.

This is a perfect summary of the whole problem I'm trying to solve. Historians originally doubted the Y. pestis theory because the plague spread way too fast to be the slow rat-flea model. This confirms that I'm right to use my map to visually test the difference between the slow rat spread (the "dogma") and the rapid human spread (my hypothesis).

This is the crucial evidence for the second path.

The fact that they share the exact same plague strain means I have a confirmed, solid connection across the English Channel. This established route will be my baseline when I look at the historical records and chronicles. (Saint-Laurent-de-la-Cabrerisse and Hereford)

This is good for my hypothesis! It proves that the plague was too complex to have followed just one simple path. Since the scientists found two different strains, my map must show two separate main routes into Europe, which means I can directly test the differences between the rat theory and the human flea theory.

This could be the best starting point for my project. It shuts down the argument about what caused the plague, so I don't have to waste time debating the pathogen itself. I can now focus 100% on mapping the how and when of the spread, which is the whole point of my research.

This means there is already a basic route out there. My final GIS map will be used to see if this basic picture is right or if the newer theories about human parasites make a different visual pattern.

This validates my plan to use chronicles and death registers as the primary source of my timeline data.

This is a deeper detail for my map. I shouldn't only map where things were exported, but also mention/point out the return trips of ships, as they could have also carried the disease.

This is why my project to map the plague against trade routes makes sense. The article proves that a major trade network was already in place to carry the disease.

This confirms that rivers and major travel routes were the most important paths, which I can trace when I build the map.

Oslo, Bergen, Norway and Halmstad, Denmark. Date: 1349. This gives me key points for mapping the very northern part of Europe.

Route Data: York, England. Date: May 1349. This is a very specific route (along the rivers).

Third Data Point: Dalkey and Drogheda, Ireland. Date: August 1348. This helps trace the route over the sea.

Second Data Point: London, England. Date: End of 1348. This is important for showing how the disease followed a river.

First Data Point: Weymouth, England. Date: Summer 1348.

This is a specific scientific detail that helps me understand why the rat theory might be wrong in places like Scandinavia. My map can visually test if the plague slowed down in colder areas.

This is a great piece of evidence for the human parasite side. It tells me to look for things in the old chronicles that don't mention rats, which strengthens the argument against the rat theory.

This supports the newer idea (the human parasite theory) that challenges the rat theory. I will use my maps to see which one looks more likely.

This clearly backs up the old idea (the rat-flea theory) that I need to test with my map. It gives me a clear route to follow.

This is exactly what my project aims to do. I can use this quote to show that comparing the plague's spread with trade routes is the right way to study this problem.

This concept of visualizing data as "streams visualizing the ebb and flow of coins over the centuries" is highly relevant to my research. I need to show change over time, specifically the sudden drop in coins or shift in material (like the debasement of currency) that occurs during and immediately after the plague years (1347-1351). This idea of "dynamic streams" helps me think past a static map and towards visualizing economic instability and recovery across Europe.

for - research further - Approximately 3,000 years ago, humans did not possess self-consciousness as we understand it today. - They operated through a divided mind: <br /> - one part spoke, experienced as divine command, and - another obeyed. Language did not describe consciousness. It created it.

Paraphrase: The study investigates whether translanguaging can make classrooms learner-centered for all social groups and whether it fosters creativity and imagination (p. 3). Why it matters: This defines the study’s purpose I’ll cite when I explain its relevance to inclusive pedagogy.

This means I must acknowledge the unseen labor that supports my work. I will give formal credit to the developers of all the open-source tools in my project's final acknowledgements.

When gathering source material online, I must be critical/review any data or image found on sites designed purely to make money, ensuring my research is based on neutral, scholarly sources.

This reminds me that my final map as well as any other visual media I create must tell a story of scholarly discovery (ex. Acknowledging how religion affected survival rates). I must not only gather facts that look pretty on the final project map.

Just as people mistrusted hidden power in the medieval period, I must avoid any closed software when analyzing my historical data. I will use open-source programs (like R, QGIS, or simple text editing) to clean and process my data so the exact transformation steps are completely visible and not hidden inside a "black box".

This is like keeping a public, perfect record of a medieval financial ledger. When I gather my Black Death data, I must immediately put it into a system (like GitHub) that records every change, so I can always prove where my facts came from and how I used them.

For more information on QGIS/PostGIS etc.

AI powered research tools - built for academics

for - research claim - dreaming - byproduct of sleep-based memory consolidation - adjacency - dreaming - sleep-based consolidation

Huge analytics opportunity that supports student success and feeds future funnel. So there's ROI in retention/completion, as well as new future enrollments.

ChatGPT makes writing easier and more of a cleaner look, especially for people who aren’t native English speakers. But it also makes people worry and start thinking to themselves like “Is this really my work?” or “Am I cheating?” It can be helpful, but also very stressful to one.

for - AgroSphere Technology key research paper - carbon emissions - paper claims agriculture is the highest summary - The paper cited here is very important for AgroSphere Technology because - It shows how critical a role regenerative agriculture plays in mitigating the climate crisis - The claim of the paper is that carbon emissions from Agriculture are the biggest emissions of all

for - research output - the truth requires too much energy

What comes after Roam's renaissance? — LessWrong<br /> by [[Itay Dreyfus]]<br /> accessed on 2025-08-30T23:55:03

came to via: https://writingslowly.com/2025/08/24/use-case-for-the-zettelkasten.html

for - research - pregnancy - 3 immune systems

suggests quantitative methods wrt predicting future tech impact on behaviour/socialaspects, in contrast with the usual qualitative narrative methods (futurism, narrative inquiry, scenarios presumably) The Science Fiction Science Method as PDF in Zotero PDF available CC BY at https://www.researchgate.net/publication/394323287_The_Science_Fiction_Science_Method

via Bruce Sterling (Mastodon)

AI Search Downside — Original Content is Ignored by [[Mark Grabe]]

Can we still speak of Digital Humanties methods as "new" (or even "new" to a certain subfield)? This seems a bit weird in 2025. Digital approaches are around since at least the 60s/70s. This also perpetual state of "novelty" also does not help Digital Humanities, a certain kind of normalising would be more helpful.

Assumptions like this always are based on the implicit bias that either the students share a somewhat similar social background with the professors or that the school system works well enough to establish the same reading skill in most people.

Okay, both are critical skills for academia, but how do you put them in relation?

for - system change - role of artists - TPF - arts community - research paper - RMIT 2020 - artist traits

for - climate crisis - research study - luxury emissions must fall

Most companies have external partnerships for employee training and the majority of those that do not would be interested in having them.

Auch dieser Review-Artikel geht vom Konzept des social metabolism aus, den man als den Gegenstand von social-metabolic research verstehen kann. Der Begriff bezieht sich auf biophysikalische Flüsse zwischen Gesellschaften und ihrer natürlichen Umgebung und zwischen gesellschaftlichen Systemen. Diese Flüsse halten die material stocks, die materiellen Bestände, aufrecht.

Die Studie des Potsdam-Instituts für Klimafolgenforschung zeigt, dass Bioenergy with Carbon Capture and Storage (BECCS) theoretisch bis 2050 jährlich 7,5 Milliarden Tonnen CO₂ entfernen könnte. Allerdings würde dies die planetaren Belastungsgrenzen stark überschreiten, insbesondere in Bezug auf Stickstoffeintrag, Süßwasserverbrauch, Entwaldung und Biosphärenintegrität. Unter Berücksichtigung dieser Grenzen reduziert sich das Potenzial auf nur 200 Millionen Tonnen CO₂ jährlich. Die Studie betont die Notwendigkeit, neben der CO₂-Bilanz auch andere ökologische Faktoren zu berücksichtigen und schlägt vor, durch weniger Fleischkonsum Flächen für Klimaplantagen freizumachen. [Zusammenfassung generiert mit Mistral]

https://www.derstandard.at/story/3000000257365/kein-platz-fuer-klimaplantagen

What is the Fermi estimation? What is the quickest way to get the information needed? What information would you need?

for - quote - AI - AI is accelerating AI research itself

for - AI - Chinese know more than US government about latest US frontier AI research

Die Trumpadministration hat die Finanzierung für die Organisation gestrichen, die für die vierjährigen Bestandsaufnahmen zum Klimawandel in den USA hat und damit das wichtigste Dokument für die nationale Klimapolitik dort zuständig sind. Vorantragen war schon im Februar das Verbot an einem Treffen des IPCC teilzunehmen. Damit wird der Kern der Berichterstattung über den Klimawandel und seine Folgen für den Kongress und damit auch die amerikanische Öffentlichkeit praktisch unmöglich gemacht. Michael Mann spricht angesichts dieser Politik der Trambeadministration von einem Verbrechen gegen den Planeten und damit vom schwerwiegsten Verbrechen überhaupt. https://www.theguardian.com/us-news/2025/apr/09/trump-national-climate-assessment-usgcrf

Der neue Planetary Health Check des Potsdam Instituts für Klimafolgenforschung ergibt, dass durch die Versauerung der Ozeane möglicherweise gerade die siebte von 9 planetaren Grenzen durchbrochen wird und die Biosphäre auch hier in eine Hochrisikozone eintritt. Bei allen anderen mit Ausnahme des Ozonschwunds haben sich die Bedingungen verschlechtert. Die CO2- Emissionen treiben die Versauerung an, die wiederum die Fähigkeit der Ozeane mindert, als CO2-Senke zu wirken. https://www.theguardian.com/environment/2024/sep/23/earth-breach-planetary-boundaries-health-check-oceans

Website zum Planetary Health Check: https://www.planetaryhealthcheck.org/