La transformation d'une grande organisation de services publics selon la perspective de la gestion des connaissances
Bibliographic record
Abstract
Résumé Cet article présente un cadre de référence générique qui vise à mieux appréhender la transformation des savoirs en valeur ajoutée pour le client dans le domaine public par le biais notamment du potentiel qu’offrent les nouvelles technologies de l’information et des communications (NTIC). Suivant cette perspective, la qualité des processus de transformation des savoirs individuels en savoirs collectifs structurants dépend de la qualité, au sens de l’apprentissage, des processus informationnels qu’une organisation peut mettre en place. Mais pour que ces processus informationnels puissent agir efficacement sur la transformation des savoirs, ils doivent se déployer selon une logique à la fois transactionnelle et interactionnelle. L’article montre enfin que la relation entre ces processus transformationnels et informationnels de gestion des savoirs est influencée par la stratégie, la culture et la structure de l’organisation.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".