Bibliographic record
Abstract
We analyze the impact of temporary foreign workers (TFWs) and permanent immigrants on interprovincial mobility in Canada. Particular attention is given to the Canadian program of TFWs that has intensified enormously over the last 30 years. Results of the empirical analysis are analyzed through the lens of a small theoretical model that incorporates a job-matching framework (Pissaridès, 1985, 2000) in a migration model à la Harris and Todaro (1970). We find that the inflow of TFWs into a given province tends to substantially decrease net interprovincial mobility. This is not the case, however, for the inflow of permanent immigrants selected through the Canadian point system. On average, each inflow of 100 TFWs is found to decrease net interprovincial migrants within the year by about 50, a number substantially higher than is present in existing literature. This number increases to 180 in the long run. The negative impact of TFWs is ascribed to the fact that TFWs are hired directly by employers, take vacant jobs, and display employment and participation rates of close to 100 per cent. Our paper suggests that, in general, the impact of immigration on labor market conditions depends critically on the way immigrants are selected.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".