Analysis of processes of cooperation and knowledge sharing in a community of practice with a diversity of actors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
According to some literature, communities of practice should normally stem from a voluntary initiative within an organization, whose members share some knowledge or expertise they wish to improve. However, over time, we have seen that communities tend to be created within organizations, in order to attain objectives of learning and knowledge development. This represents a challenge in the context of a community of practice taking the form of a research network in partnership that brings together members with common interests certainly, but spread out in different organizations and even several countries in which they perform different types of work. Also, the community does not exist in a vacuum and the explanation for what happens within it does not lie solely within the way the group interacts; indeed the individuals are part of different organizations and thus have different priorities, in relation with these affiliations. In this context, our research objective was to determine the factors that facilitate or hinder cooperation within a community of practice composed by two groups of actors, community and university actors. We thus found that individuals? different work affiliations might not facilitate the work within the CoP and that ICT/web 2.0 tools are not always a solution to increase participation in a CoP. Although participants are somewhat familiar with the tools, they mostly seem content with receiving and accessing information, not searching for a more active participation. Some explications and solutions will be proposed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it