111 Matching Annotations
  1. Oct 2022
    1. https://www.loom.com/share/a05f636661cb41628b9cb7061bd749ae

      Synopsis: Maggie Delano looks at some of the affordances supplied by Tana (compared to Roam Research) in terms of providing better block-based user interface for note type creation, search, and filtering.

      These sorts of tools and programmable note implementations remind me of Beatrice Webb's idea of scientific note taking or using her note cards like a database to sort and search for data to analyze it and create new results and insight.

      It would seem that many of these note taking tools like Roam and Tana are using blocks and sub blocks as a means of defining atomic notes or database-like data in a way in which sub-blocks are linked to or "filed underneath" their parent blocks. In reality it would seem that they're still using a broadly defined index card type system as used in the late 1800s/early 1900s to implement a set up that otherwise would be a traditional database in the Microsoft Excel or MySQL sort of fashion, the major difference being that the user interface is cognitively easier to understand for most people.

      These allow people to take a form of structured textual notes to which might be attached other smaller data or meta data chunks that can be easily searched, sorted, and filtered to allow for quicker or easier use.

      Ostensibly from a mathematical (or set theoretic and even topological) point of view there should be a variety of one-to-one and onto relationships (some might even extend these to "links") between these sorts of notes and database representations such that one should be able to implement their note taking system in Excel or MySQL and do all of these sorts of things.

      Cascading Idea Sheets or Cascading Idea Relationships

      One might analogize these sorts of note taking interfaces to Cascading Style Sheets (CSS). While there is the perennial question about whether or not CSS is a programming language, if we presume that it is (and it is), then we can apply the same sorts of class, id, and inheritance structures to our notes and their meta data. Thus one could have an incredibly atomic word, phrase, or even number(s) which inherits a set of semantic relationships to those ideas which it sits below. These links and relationships then more clearly define and contextualize them with respect to other similar ideas that may be situated outside of or adjacent to them. Once one has done this then there is a variety of Boolean operations which might be applied to various similar sets and classes of ideas.

      If one wanted to go an additional level of abstraction further, then one could apply the ideas of category theory to one's notes to generate new ideas and structures. This may allow using abstractions in one field of academic research to others much further afield.

      The user interface then becomes the key differentiator when bringing these ideas to the masses. Developers and designers should be endeavoring to allow the power of complex searches, sorts, and filtering while minimizing the sorts of advanced search queries that an average person would be expected to execute for themselves while also allowing some reasonable flexibility in the sorts of ways that users might (most easily for them) add data and meta data to their ideas.

      Jupyter programmable notebooks are of this sort, but do they have the same sort of hierarchical "card" type (or atomic note type) implementation?

    1. There is a difference between various modes of note taking and their ultimate outcomes. Some is done for learning about an area and absorbing it into one's own source of general knowledge. Others are done to collect and generate new sorts of knowledge. But some may be done for raw data collection and analysis. Beatrice Webb called this "scientific note taking".

      Historian Jacques Goutor talks about research preparation for this sort of data collecting and analysis though he doesn't give it a particular name. He recommends reading papers in related areas to prepare for the sort of data acquisition one may likely require so that one can plan out some of one's needs in advance. This will allow the researcher, especially in areas like history or sociology, the ability to preplan some of the sorts of data and notes they'll need to take from their historical sources or subjects in order to carry out their planned goals. (p8)

      C. Wright Mills mentions (On Intellectual Craftsmanship, 1952) similar research planning whereby he writes out potential longer research methods even when he is not able to spend the time, effort, energy, or other (financial) resources to carry out such plans. He felt that just the thought experiments and exercise of doing such unfulfilled research often bore fruit in his other sociological endeavors.

  2. Apr 2022
    1. Dr Ellie Murray, ScD. (2021, September 19). We really need follow-up effectiveness data on the J&J one shot vaccine, but not sure what this study tells us. A short epi 101 on case-control studies & why they’re hard to interpret. 🧵/n [Tweet]. @EpiEllie. https://twitter.com/EpiEllie/status/1439587659026993152

    1. Adam Kucharski. (2021, February 6). It’s flattering being asked for your opinion by the media (especially if you have lots of them) but I do think it’s important to defer to others if you’re being asked on as a ‘scientific expert’ and the subject of the interview falls outside your area of research/expertise. [Tweet]. @AdamJKucharski. https://twitter.com/AdamJKucharski/status/1358050473098571776

  3. Mar 2022
    1. ReconfigBehSci on Twitter: ‘@alexdefig are you really going to claim that responses to the introduction of passports on uptake across 4 other countries are evidentially entirely irrelevant to whether or not passports are justified or not?’ / Twitter. (n.d.). Retrieved 31 March 2022, from https://twitter.com/SciBeh/status/1444358068280565764

    1. James Heathers. (2021, October 26). Perish the thought I would be as peremptory as @GidMK. No, I’m going to hector, mock, or annoy those replies, THEN ask for money, THEN block you when I get bored. See, these aren’t rebuttals. No-one’s said anything about the actual work. Nothing. Not a sausage. [Tweet]. @jamesheathers. https://twitter.com/jamesheathers/status/1452980059497762824

  4. Feb 2022
    1. Deepti Gurdasani. (2022, January 29). Going to say this again because it’s important. Case-control studies to determine prevalence of long COVID are completely flawed science, but are often presented as being scientifically robust. This is not how we can define clinical syndromes or their prevalence! A thread. [Tweet]. @dgurdasani1. https://twitter.com/dgurdasani1/status/1487366920508694529

    1. Deepti Gurdasani. (2022, January 30). Have tried to now visually illustrate an earlier thread I wrote about why prevalence estimates based on comparisons of “any symptom” between infected cases, and matched controls will yield underestimates for long COVID. I’ve done a toy example below here, to show this 🧵 [Tweet]. @dgurdasani1. https://twitter.com/dgurdasani1/status/1487578265187405828

  5. Jan 2022
  6. Dec 2021
    1. Every serious (academic) historical work includes a conversation with other scholarship, and this has largely carried over into popular historical writing.

      Any serious historical or other academic work should include a conversation with the body of other scholarship with which argues for or against.

      Comparing and contrasting one idea with another is crucial for any sort of advancement.

  7. Nov 2021
  8. Oct 2021
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  11. Jul 2021
  12. Jun 2021
    1. Soderberg, C. K., Errington, T. M., Schiavone, S. R., Bottesini, J., Thorn, F. S., Vazire, S., Esterling, K. M., & Nosek, B. A. (2021). Initial evidence of research quality of registered reports compared with the standard publishing model. Nature Human Behaviour, 1–8. https://doi.org/10.1038/s41562-021-01142-4

  13. May 2021
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  18. Oct 2020
  19. Sep 2020
  20. Aug 2020
  21. Jul 2020
  22. www.nytimes.com www.nytimes.com