Bibliographic record
Abstract
La diffusion de ce mernolre se fait dans Ie respect des droits de son auteur, qui a siqne Ie formulaire Autorisation de reproduire et de diffuser un travail de recherche de cycles superieurs (SDU-522- Rev.01-2006). Cette autorisation stipule que «contorrnernent l'articte 11 du Reglement no 8 des etudes de cycles superieurs. [I'auteur] concede a l'Universite du Quebec a Montreal une licence non exclusive d'utilisation et de publication de la totalite ou d'une partie importante de [son] travail de recherche pour des fins pedaqoqiques et non commerciales. Plus precisernent, [I'auteur] autorise l'Unlversite du Quebec a Montreal areproduire, diffuser, preter, distribuer ou vendre des copies de [son] travail de recherche a des fins non commerciales sur quelque support que ce soit, y compris l'lnternet. Cette licence et cette autorisation n'entrainent pas une renonciation de ria] part [de I'auteur] a [ses] droits moraux ni a [ses] droits de propriete intellectuelle. Sauf entente contraire, [I'auteur] conserve la liberte de diffuser et de commercialiser ou non ce travail dont [i1] possede un exernplaire. » REMERCIEMENTS J'aimerais remercier de tout cceur mon directeur de memoire, M. Julien Bauer, pour sa patience, sa disponibilite et son aide inestimable tout au long de I'elaboration et la redaction
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.145 | 0.092 |
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".