A Decade Later: Assessing Successes and Challenges in Manitoba's Provincial Immigrant Nominee Program
Bibliographic record
Abstract
During the past decade, Manitoba's Provincial Nominee Program (MPNP) has increased immigration to the province and dispersed immigrants more widely within Manitoba. At the same time, the rapid growth of the program and the decentralized way in which it has been implemented have contributed to some challenges. This ten-year analysis of the MPNP finds that many places in Manitoba are experiencing settlement service gaps, and that immigrants and communities are taking on much of the burden for MPNP application and settlement. In addition, the analysis demonstrates that the fragmented way in which the MPNP has been marketed and implemented (i.e., by relying on particular employers, consultants, and ethnocultural organizations) has resulted in a sort of ethnocultural inequality where certain groups are ushered into the province-often to perform particular occupations-while others are bypassed.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".