Bibliographic record
Abstract
À partir des données des recensements de 1951, 1961 et 1971 de l'agglomération de Québec, cet article analyse la différenciation et la ségrégation spatiales de la population de Québec selon un ensemble de caractéristiques démographiques, socio-économiques et ethnolinguistiques. L'étude de la différenciation spatiale est fondée, techniquement, sur l'analyse factorielle et celle de la ségrégation sur un indice de ségrégation mesurant la distance spatiale entre un groupe d'occupations et tous les autres groupes. Il apparaît clairement, dans l'étude de la différenciation, que les secteurs de recensement continuent, dans le temps, à se démarquer les uns des autres selon la position économique, le statut familial et l'origine ethnique. Cependant, d'autres caractéristiques, de l'occupation et du travail des femmes surtout, rendent le tableau plus complexe. Quant à la ségrégation proprement dite, ce sont principalement les groupes de professionnels, d'administrateurs et de techniciens qui affichent la plus forte distance spatiale.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".