Bibliographic record
Abstract
Direclion des bIbliothè ques AVIS L'auteur a autorisé l'Univer sité de Montréa l à reprodui re et diffuser, en totalité ou en partie, par quelque moyen que ce soit et sur quelque support que ce soit, et exclusive ment à des fins non lucrative s d'enseig nement et de recherch e, des copies de ce mémoire ou de cette thèse.L'auteur et les coauteur s le cas échéant conserve nt la propriété du droit d'auteur et des droits moraux qui protègen t ce documen t.Ni la thèse ou le mémoire , ni des extraits substanti els de ce documen t, ne doivent être imprimé s ou autremen t reprodui ts sans l'autorisa tion de l'auteur.Afin de se conform er à la Loi canadien ne sur la protectio n des renseign ements personne ls, quelques formulai res secondai res, coordonn ées ou signature s intégrées au texte ont pu être enlevés de ce documen t.Bien que cela ait pu affecter la paginatio n, il n'y a aucun contenu manquan t. NOTICEThe author of this thesis or dissertati on has granted a nonexclu sive license allowing Universi té de Montréa l to reproduc e and publish the documen t, in part or in whole, and in any format, solely for noncomm ercial educatio nal and research putposes .The author and co-autho rs if applicab le retain copyrigh t ownersh ip and moral rights in this documen t.Neither the whote thesis or dissertati on, flot substanti al extracts from it, may be printed or otherwis e reproduc ed without the author's permissi on.In complian ce with the Canadian Privacy Act some supportin g forms, contact informat ion or signature s may have been removed from the documen t.While this may affect the documen t page count, it does flot represen t any loss of content from the documen t.Université de Montréal faculté des études supérieures Ce mémoire intitulé Les coroners du Québec et la prévention des homicides présenté par: Mathieu Carrier a été évalué par un jury composé des personnes suivantes:
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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 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".