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  1. publish.obsidian.md

    - [[🌲 zettels]] - Tags: [[DSynthesis Infrastructure]] - Description: - We see this in scholars' behavior during synthesis: for example, [[CLM - Scholars constantly need to reread during a literature review]] - It is possible that with good contextualizability properties, less rereading is necessary; but there is probably a base level of returning that needs to happen, since [[CLM ...
  2. scalingsynthesis.com

    Mar 17, 2023At the same time, constructive and creative engagement with contextual details, is thought to be necessary for developing novel conceptual wholes from "data", such as in sensemaking, 3 systematic reviews, 4 or formal theory development. 5 This is a more specific application of the general insight that Context is necessary for knowledge reuse.
  3. scalingsynthesis.com

    Mar 17, 2023Context is necessary for knowledge reuse. Last updated March 17, 2023. #Claim; Authored By:: Joel Chan. There is a long history of research in computer-supported cooperative work (CSCW) that documents how knowledge needs to be contextualized to be usefully reused.
  4. Fig. 1. Example annotation with Compression and Contextualizability, using color coding. Fig. 2. Examples of structured summaries that include features of Compression, Contextualizability, and Composability. support sensemaking in the moment, and also aid recall of the key ideas and contextual details when revisiting sources.
  5. a design space, among others. The advanced understanding from synthesis can be a powerful force mul-tiplier for choosing effective studies and operationalizations [van Rooij and Baggio, 2021, McElreath and Smaldino, 2015, Scheel et al., 2020], and may be especially necessary for problems where it is difficult or
  6. Oct 2, 2023may help to resolve this tension between granularity and contextualizability. For instance, graph-model and hypertext affordances like hyperlinking or transclusion might enable scientists to hide "extraneous details" (to facilitate compression) without destructively blocking future reusers from obtaining necessary contextual details for reuse.[^6]
  7. Mar 3, 2023These are: (a) the opportunity dilemma between the availability of data shaping problem statements vs problem statements shaping data; (b) the trade-off between scalability and contextualizability (too much data versus too specific data); and (c) the epistemic positioning between the pragmatic technical objectivism and the reflexive relativism ...
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