La gestion des connaissances dans les organisations québécoises : état des lieux, enjeux actuels, avenir
Bibliographic record
Abstract
L’auteure passe en revue la gestion des connaissances (GC) au Québec dans trois secteurs primaires : les grandes universités québécoises, le secteur public provincial et certaines grandes organisations du secteur privé. Une bonne partie des projets de GC implique un partenariat entre ces trois secteurs. Cependant, la GC au Québec souffre encore d’un manque de visibilité nationale et internationale. L’article ne propose pas un inventaire exhaustif puisque seules des sources publiques ont été consultées afin d’établir le portrait « public » de la GC au Québec. Les exemples présentés ont pour but d’illustrer les types de gestion des connaissance en cours au Québec tout en posant la question de son avenir.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".