20 Matching Annotations
  1. Sep 2022
    1. they suggest that the use of symbols to model the world developed rapidly between about 20,000 and 10,000 years ago, and has the effect of giving emphasis to analytic thought as the dominant mode of human consciousness. Rather than seeing symbols as the impetus for human logic, they argue for presymbolic elements of logic in Peirce’s sign categories shared widely by humans and other animals.

      !- explanation : language - instead of arguing for the power of symbols, they argue for the power of presymbolic elements of logic as per Charles Saunder Peirce's sign categories

  2. Aug 2022
    1. those provisions cannot be interpreted as meaning that the processing of personal data that are liable indirectly to reveal sensitive information concerning a natural person is excluded from the strengthened protection regime prescribed by those provisions, if the effectiveness of that regime and the protection of the fundamental rights and freedoms of natural persons that it is intended to ensure are not to be compromised.

      And here's the key element for indirect/inferred data. In order for Article 9 to matter, it must also include data that infers SCD.

    2. collecting and checking the content of declarations of private interests, of personal data that are liable to disclose indirectly the political opinions, trade union membership or sexual orientation of a natural person constitutes processing of special categories of personal data, for the purpose of those provisions.

      Second question: If you collect it, can you infer from it?

  3. Apr 2022
    1. There are different types of requirements. In this article we divide the requirements into a number of categories that help us with the software selection.

      Types of requirements in a SaaS selection

      There are different types of requirements. In this article we divide the requirements into a number of categories that help us with the software selection.

  4. Nov 2021
    1. we saw in the mirror neuron cases that action and perception are linked with the same neurons are 00:39:42 firing during actions and perceptions of the same actions that's very important because it turns out that concepts have everything to do with that and so let's 00:39:56 continue as a result that is why there are things called basic level categories so let me tell you about basic level categories it was discovered by eleanor 00:40:09 rosch back in the mid-1970s that category hierarchies like furniture chair and desk chair or like vehicle car 00:40:23 and sports car had different properties that at the middle level of car and chair you could get mental images all right you can all get a mental image of 00:40:36 a chair you can all get a mental image of a car can you get a mental image of a general piece of furniture that is neutral between chairs and tables and 00:40:48 beds and and lamps you can't do it okay can you get a mental image that is neutral between cars and boats and planes and motorcycles and bicycles and 00:41:04 all kinds of vehicles can't do it the highest level of which you can get a mental image is that middle level okay and not only that there are motor 00:41:17 programs you are now eggs and using your motor program for sitting in a chair if you're driving your car you have motor programs for driving a car okay those you don't have general motor 00:41:31 programs for interacting with generalized pieces of furniture you have different ones for chairs tables bed lamps and so on okay so there's a level 00:41:43 at which you have mental images and you perceive things by your stall perception at this middle level called the basic level and it's what it's the level at which children first learn concepts why 00:41:56 should you have what a motor programs have to do with your stall perception and mental images the answer is mirror neurons which link actions motor actions 00:42:08 to what you can see and what you can imagine mirror neurons explain why there should be this phenomenon right very profound result of that that shows that 00:42:22 there's something about the nature of categories themselves that has to do with the neural system

      What is Lakoff saying about categories here?

  5. Oct 2020
    1. It isn't rocket science, but as Jon indicates, it's incredibly powerful.

      I use my personal website with several levels of taxonomy for tagging and categorizing a variety of things for later search and research.

      Much like the example of the Public Radio International producer, I've created what I call a "faux-cast" because I tag everything I listen to online and save it to my website including the appropriate <audio> link to the.mp3 file so that anyone who wants to follow the feed of my listens can have a playlist of all the podcast and internet-related audio I'm listening to.

      A visual version of my "listened to" tags can be found at https://boffosocko.com/kind/listen/ with the RSS feed at https://boffosocko.com/kind/listen/feed/

  6. May 2020
  7. Apr 2020
  8. Mar 2020
  9. Feb 2019
  10. Dec 2018
    1. Moreover,one of the CSCW findings was that such categorization (and especially howcategories are collapsed into meta-categories) is inherently political. The pre-ferred categories and categorization will differ from individual to individual.

      Categories have politics.

      See: Suchman's 1993 paper

      https://pdfs.semanticscholar.org/764c/999488d4ea4f898b5ac5a4d7cc6953658db9.pdf

  11. Aug 2018
    1. El enfoque etnográfico efectuado inicialmente me permitía reintegrar, en el momento de la objetivación, el «sentido vivido» por los agentes (Bourdieu, 1980b): me daba cuenta que este me había servido de aquello que Loïc Wacquant llama un «instrumento de deconstrucción de las categorías» (Wacquant, 2008) utilizadas en los enfoques estadísticos. p. 356

  12. Oct 2017
  13. Sep 2017
    1. new framework for understanding issues ranging from democracy on the web to the vulnerability of the internet and the spread of deadly viruses

      Sometimes this new framework feels a bit overwhelming to me because it asks me to 'see' the world differently. I am use to seeing through discreet categories containing individuals; i.e. race, class and gender. SNA is asking me to see it through interconnections and links--the stuff behind the categories. Sometimes it feels like I am being asked to see 'air'; I know it is there, but it is all around me--ubiquitous--which makes it harder, and more intellectually challenging, to see.

  14. Jan 2017
    1. Boolean satisfiability problem

      This is just one specific type of the classes of satisfiability problems (a.k.a. search problems).

      Other related problems include: Linear equation satisfiability, Linear inequality satisfiability, 0-1 integer linear equation satisfiability.

      Given the current context (of search problems), all the above are known as NP problems in general (with the observation, that the classic definition of NP limited the scope to only YES-NO problems).

      One can think of search problems as "one of many ways of characterizing the set of problems that form the basis of the study of intractability". Other ways include viewing such problems through the lenses of decision problems or optimization problems. In other words, problems in any of the aforementioned types can be translated between (or more formally, reduced to) each other with relative ease.

      Source(s): http://algs4.cs.princeton.edu/66intractability/

  15. Jan 2016
    1. we’ve selected many cases that have high numbers of girls and black and Latino/ Latina youth.

      What are we looking at here: race, gender, economic class or what? Which category is more 'telling'?

  16. Dec 2015
  17. Jan 2014
    1. Reasons for not making data electronically available. Regarding their attitudes towards data sharing, most of the respondents (85%) are interested in using other researchers' datasets, if those datasets are easily accessible. Of course, since only half of the respondents report that they make some of their data available to others and only about a third of them (36%) report their data is easily accessible, there is a major gap evident between desire and current possibility. Seventy-eight percent of the respondents said they are willing to place at least some their data into a central data repository with no restrictions. Data repositories need to make accommodations for varying levels of security or access restrictions. When asked whether they were willing to place all of their data into a central data repository with no restrictions, 41% of the respondents were not willing to place all of their data. Nearly two thirds of the respondents (65%) reported that they would be more likely to make their data available if they could place conditions on access. Less than half (45%) of the respondents are satisfied with their ability to integrate data from disparate sources to address research questions, yet 81% of them are willing to share data across a broad group of researchers who use data in different ways. Along with the ability to place some restrictions on sharing for some of their data, the most important condition for sharing their data is to receive proper citation credit when others use their data. For 92% of the respondents, it is important that their data are cited when used by other researchers. Eighty-six percent of survey respondents also noted that it is appropriate to create new datasets from shared data. Most likely, this response relates directly to the overwhelming response for citing other researchers' data. The breakdown of this section is presented in Table 13.

      Categories of data sharing considered:

      • I would use other researchers' datasets if their datasets were easily accessible.
      • I would be willing to place at least some of my data into a central data repository with no restrictions.
      • I would be willing to place all of my data into a central data repository with no restrictions.
      • I would be more likely to make my data available if I could place conditions on access.
      • I am satisfied with my ability to integrate data from disparate sources to address research questions.
      • I would be willing to share data across a broad group of researchers who use data in different ways.
      • It is important that my data are cited when used by other researchers.
      • It is appropriate to create new datasets from shared data.
    1. Data management activities, grouped. The data management activities mentioned by the survey can be grouped into five broader categories: "storage" (comprising backup or archival data storage, identifying appropriate data repositories, day-to-day data storage, and interacting with data repositories); "more information" (comprising obtaining more information about curation best practices and identifying appropriate data registries and search portals); "metadata" (comprising assigning permanent identifiers to data, creating and publishing descriptions of data, and capturing computational provenance); "funding" (identifying funding sources for curation support); and "planning" (creating data management plans at proposal time). When the survey results are thus categorized, the dominance of storage is clear, with over 80% of respondents requesting some type of storage-related help. (This number may also reflect a general equating of curation with storage on the part of respondents.) Slightly fewer than 50% of respondents requested help related to metadata, a result explored in more detail below.

      Categories of data management activities:

      • storage
        • backup/archival data storage
        • identifying appropriate data repositories
        • day-to-day data storage
        • interacting with data repositories
      • more information
        • obtaining more information about curation best practices
        • identifying appropriate data registries
        • search portals
      • metadata
        • assigning permanent identifiers to data
        • creating/publishing descriptions of data
        • capturing computational provenance
      • funding
        • identifying funding sources for curation support
      • planning
        • creating data management plans at proposal time
  18. Nov 2013
    1. ten general topics - -causes, effects, subjects, adjuncts, opposites, comparisons, names, divisions, definitions, wit-nesses

      ten general topics addressed by Aristotle