Bibliographic record
Abstract
This paper explores how management practices shape the way dispersed communities of practice (CoPs) function. The analysis is a case study of a dispersed community engaged in conducting and managing collaborative research. The analysis uses data from a social network survey and semi-structured interviews to capture the management practices in the community and demonstrate how they are linked to the patterns of information flows and communication.This analysis is a test case for the broader issue of how distributed communities function. It shows that even highly distributed CoPs may have a dual life: they exist both online and offline, in both face-to-face meetings and email exchanges of their participants. The study examines a dispersed community engaged in conducting and managing collaborative research. The analysis uses data from a social network survey and interviews to examine its managerial practices, information exchanges and communication practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.061 | 0.160 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.016 | 0.023 |
| Open science | 0.006 | 0.028 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".