Bibliographic record
Abstract
RÉSUMÉ La ville minière de Val-d’Or est une municipalité québécoise vieille d’un siècle qui, malgré ses richesses, ne parvient pas à générer des taux de scolarité attendus des milieux aussi favorisés. Les faibles taux de diplomation précèdent l’importante délinquance. En étudiant le rapport à l’école des futurs mineurs, nous comprendrons s’il y a reproduction des inégalités sociales ou non et s’il y a égalité des chances. Nous décrirons les mécanismes sociaux dans l’industrie minière de Val-d’Or et leur interaction avec la mobilité sociale. ABSTRACT The mining town of Val-d’Or is a hundred-year-old Quebec municipality, which, however rich it might be, does not generate successful schooling rates to the expected level of such a favored community. The low high-school graduation rates precede significant delinquency. By studying the relationship with school of the future minors, we will understand if there are phenomena leading to the reproduction of social inequalities or not and if the schooling system provides equal opportunities for everybody regarding obtaining a higher education. We will describe the social mechanisms in the mining industry in Val-d’Or and their interaction with social mobility.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.018 | 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".