Quatre décennies d’études sur la stratification sociale au Québec et au Canada : tendances et illustrations
Bibliographic record
Abstract
L’article passe en revue les différentes approches développées au Canada et au Québec pour analyser empiriquement la structure sociale et la mobilité sociale de 1960 à 2000. Deux cadres conceptuels principaux ont inspiré ces travaux : les approches en termes de statut et les approches en termes de classes. La sociologie canadienne apporte plusieurs contributions spécifiques : l’élaboration de mesures originales, l’étude du lien entre caractéristiques individuelles et société globale, le concept de mobilité collective d’une minorité, la thèse de la mosaïque verticale. L’étude de la place des femmes et celle des groupements linguistiques et ethniques ont occupé une place importante. Au tournant du siècle, la contribution canadienne a été marquante pour l’étude de la polarisation sociale, un aspect nouveau dans le champ de la stratification, sans oublier les effets de génération.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".