Testing and Extending the Escalator Hypothesis: Does the Pattern of Post-migration Income Gains in Toronto Suggest Productivity and/or Learning Effects?
Bibliographic record
Abstract
Workers earn incomes that are significantly higher in large metropolitan areas as compared with other locations in the urban hierarchy, reflecting both agglomeration economies and variation in the composition of skills and abilities across space. What benefits accrue to in-migrants to large urban areas? Fielding’s concept of the escalator region provides one way to evaluate the role of large metropolitan areas vis-à-vis the labour market, occupational mobility and migration. The purpose of this paper is to evaluate whether young adult migrants to Toronto aged 20–29 receive income benefits that are higher than those associated with other migrants or stayers. Results indicate that Toronto in-migrants receive an income benefit consistent with a productivity effect that is greater than the income benefit received by migrants elsewhere in the system or those who did not migrate. However, it does not appear that migration leads to an acceleration in income gains.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".