Changes in selection policy and refugee welfare use in Canada
Bibliographic record
Abstract
Abstract With the introduction of the 2002Immigration and Refugee Protection Act(IRPA), Canada shifted its refugee selection criteria from adaptability to vulnerability. Little is known about the long‐term impact of this policy change on the economic self‐sufficiency of Government‐Assisted Refugees (GARs). Using data from the Longitudinal Immigration Database (IMDB), we compare the long‐term receipt of social assistance (SA) incomes among three GAR cohorts: those admitted pre‐IRPA (1997–2001), during the transition period (2002–2004) and post‐IRPA (2005–2009). We find GARs admitted during the transition period and post‐IRPA have higher SA rates than their pre‐IRPA counterparts three to eight years after arrival, and the gap is explained mostly by the former's lower employment rates. After year eight, however, the gap starts to decline. This suggests while post‐IRPA GARs require a more extended financial assistance, prioritising humanitarian goals in refugee admission policies does not lead to their prolonged welfare receipt.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".