Les prochains défis de la Division de la gestion de documents et des archives de l’Université de Montréal
Bibliographic record
Abstract
Depuis le début des années 1970, la Division de la gestion de documents et des archives de l’université de Montréal s’est imposée par son innovation, sa rigueur et son désir de communiquer son savoir et son savoir-faire. Reconnue internationalement pour l’exemplarité de ses méthodes de travail, l’article fait un retour sur les principales réalisations de la Division pour ensuite exposer les défis qui l’occuperont en terme de gouvernance informationnelle, de gestion des archives numériques et de valorisation des archives patrimoniales. L’auteure termine l’article avec les nouvelles définitions de la mission, de la vision et des valeurs de la Division ainsi qu’en soulignant l’importance d’entreprendre un exercice d’évaluation et de mesure de leurs services auprès de leurs partenaires.
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.015 | 0.017 |
| Scholarly communication | 0.023 | 0.008 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 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".