La mobilité interprovinciale de la main-d’oeuvre au Canada : le cas de l’Ontario, de la Nouvelle-Écosse et du Nouveau-Brunswick
Bibliographic record
Abstract
This paper studies the migratory flows between Ontario and two Atlantic provinces of Canada, from 1960-61 to 1975-76. Search theory is used as the theoretical framework and leads to predictions as to the influence on interprovincial migratory flows of three economic variables: relative wages, employment opportunities, and unemployment insurance (UI). Proxies for these theoretical variables are used in an ordinary least squares regression based on pooled time series and cross-section data on interprovincial migration in Canada (Family Allowances' data base). The model performs poorly in explaining short term variations in the interprovincial migration rates, and the expected return migration from Ontario to New Brunswick and Nova Scotia due to UI changes in 1971 is not found. However, the model performs relatively well in explaining long term interprovincial migration flows and the 1970's reversal of the net migratory flows between Central Canada (Ontario) and the Atlantic provinces considered. Higher unemployment rates in Ontario, improved relative wages in New Brunswick and Nova Scotia as well as the UI revisions of 1971 explain a significant part of the observed change.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".