Le bazar dans la cathédrale1 : l’espace comme catalyseur de l’implication de l’usager dans la créativité organisationnelle
Bibliographic record
Abstract
L’intégration des open labs dans les institutions publiques marque une rencontre paradoxale entre, d’un côté, un espace hybride et souple, et de l’autre, une bureaucratie organisationnelle. L’intégration de ces espaces interroge la créativité organisationnelle comme capacité de l’organisation à renouveler la gestion de ses espaces, les relations aux usagers et l’organisation des équipes. A partir d’une étude de cas multiples dans le champ culturel et de la santé, nous avons construit une typologie des formes de relations internes et externes des open labs avec les institutions. Notre typologie met en évidence les différentes sources de créativité organisationnelle et les capacités d’essaimage de cette créativité au sein de l’organisation et au-delà de ses frontières.
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.041 |
| Scholarly communication | 0.018 | 0.016 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".