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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".