Disparités locales du revenu d'emploi au sein du champ métropolitain de Québec Le rôle des navettes vers les pôles d'emploi (1980- 2000)
Bibliographic record
Abstract
S’inscrivant dans la perspective de mieux documenter la problématique des disparités territoriales de revenu à fine échelle spatiale, lesquelles seraient plus prononcées qu’à large échelle, cet article propose une analyse multivariée de l’évolution entre 1980 et 2000. L’étude porte sur les déterminants spatiaux et structurels des disparités du revenu moyen d’emploi entre petites localités situées dans l’aire d’influence (champ métropolitain) d’une petite région métropolitaine canadienne, la RMR de Québec. Globalement, les résultats confirment l’importance des navettes vers les pôles d’emploi métropolitains et non-métropolitains mais également l’influence très forte de certaines variables structurelles comme le niveau de scolarisation de la population. Finalement, l’article souligne l’influence grandissante des pôles non-métropolitains (y compris les plus petits d’entre eux) ainsi que de la distance par rapport aux principaux axes de communication dans l’évolution des disparités locales de revenu à l’échelle du champ métropolitain de Québec.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".