12 Matching Annotations
  1. Feb 2019
  2. Jan 2019
    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/

  3. 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

  4. 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

  5. Oct 2017
  6. 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.

  7. 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/

  8. 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'?

  9. Dec 2015
  10. 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
  11. Nov 2013
    1. ten general topics - -causes, effects, subjects, adjuncts, opposites, comparisons, names, divisions, definitions, wit-nesses

      ten general topics addressed by Aristotle