Making migration part of Canada's feminist foreign policy future
Bibliographic record
Abstract
Canada has positioned itself as a leader in international feminist governance by adopting a Feminist International Assistance Policy and championing gender-responsive migration governance internationally. Other countries have considered gender, migration, and development together as part of development policy for decades. However, migration barely figures in Canada's FIAP, and the government has yet to release a fully-fledged feminist foreign policy (FFP). How can Canada link the policy domains of gender, migration, and development more effectively? What lessons can be learned from other countries’ FFP on how to integrate these domains? Ultimately, how might Canada build upon its existing international leadership on gender and migration in a future FFP? Drawing on feminist scholarship and policy engagement with Canadian and international actors, this article argues that a feminist approach necessitates integrating migration and development within foreign policy. This is the next logical step if Canada wishes to lead by example and develop a broader feminist foreign policy.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.016 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".