Caractéristiques de la fratrie d'origine et mobilité socioprofessionnelle intergénérationnelle (Saguenay-Lac-Saint-Jean, 1840-1970)
Bibliographic record
Abstract
Dans la poursuite de leur objectif, les auteurs ont «[...] effectué de nouvelles mesures de mobilité socioprofessionnelle intergénérationnelle, [ont] vérifié l’évolution du phénomène dans le temps et en fonction de la profession du père, et [ont] examiné les variations du phénomène selon diverses caractéristiques de la fratrie des sujets. » (p. 74) Les conclusions de l’«étude indique[nt] que les caractéristiques de la fratrie d’un individu, ainsi que sa position au sein de cette fratrie, jouent un rôle peu marqué mais néanmoins non négligeable en tant que déterminants de la mobilité socioprofessionnelle entre les générations au Saguenay - Lac-Saint-Jean. Il apparaît donc pertinent de prendre en compte ces facteurs dans l’élaboration des modèles explicatifs de ce phénomène.»
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".