Are refugees more likely to leave initial destinations than economic immigrants? Recent evidence from Canadian longitudinal administrative data
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Secondary migration is of policy interest in many immigrant‐receiving countries when efforts are made to steer immigrants away from major urban centres. One example is refugee dispersal policy. Although previous research, mostly evaluating the policy itself, argues it would disproportionately increase the secondary migration of refugees settled in nongateway cities, quantitative analysis is limited. This study compares the long‐term secondary migration in Canada by immigrant admission category with a focus on the city size of initial settlement. Our analysis of the Longitudinal Immigration Database finds that although resettled refugees have a higher overall secondary migration rate than economic immigrants, their difference in the likelihood of leaving a same‐size initial destination city is minor. The majority stay in the initial city of residence regardless of admission category. The findings have a strong policy implication; the geographic distribution of immigrants can be influenced most effectively at arrival.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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 it