La contribution actuelle de la recherche doctorale en archivistique à l’Université de Montréal
Bibliographic record
Abstract
Si l’archivistique était auparavant, plus encore qu’aujourd’hui, associée à une pratique professionnelle, cette discipline s’est considérablement développée au Québec à travers la recherche universitaire. En témoigne le programme de doctorat à l’École de bibliothéconomie et des sciences de l’information (EBSI), créé en 1998, dont la première thèse portant sur un sujet relatif à l’archivistique a été octroyée en 2005 et la plus récente, fin 2019. Les projets en archivistique des actuels doctorants de l’EBSI reflètent le dynamisme de cette discipline et la multiplicité des avenues de recherche qui en découlent. C’est dans cette perspective globale que sont abordées chacune de ces recherches doctorales qui témoignent des évolutions de la contribution québécoise à l’archivistique actuelle.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".