Characterization and Explanation of the 1996-2001 Inter-CMA Migration of the Second Generation in Canada
Bibliographic record
Abstract
Based on the primary micro data files of the 2001 Canadian census, I investigated the 1996-2001 internal migration patterns of the 2nd generation, in comparison to those of the 1st, 1.5, and 3rd+ generations. In the descriptive analysis, I found that the overall out-migration rate increased monotonically with an increase in generation status. However, with the exception of Toronto, Vancouver and Calgary, the CMA specific out-migration rate generally decreased with an increase in generation status. In terms of in-migration, Toronto, Vancouver, and Calgary were the predominant destinations for all generations. In the multivariate analysis, I found that the different generations were subject to the effects of the same set of explanatory factors -- labor market factors, ethnic similarity factor, and personal factors. Compared to the first generation immigrants, the second generation was less dependent on ethnic communities and more sensitive to the changing spatial economy of the CMA system.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".