<scp>GBA</scp> + in Canada's immigration system: Opportunities and limitations
Bibliographic record
Abstract
Abstract This exploratory study investigates the use of Gender‐based Analysis Plus (GBA+) in Canada's immigration programme development. The objectives of the article are as follows: first, to provide insight into the structures within the Immigration Refugees and Citizenship Canada (IRCC) that support GBA+ and understand how it is applied in practice; second, to evaluate the transformative potential of GBA+ in this context. Drawing on IRCC's policy, guidelines, Annual Reports to Parliament and self‐assessments, the article makes a preliminary finding that GBA+ is unlikely to prompt transformation of key tenets of the immigration system, but it can stimulate incremental changes, particularly in areas that are already more responsive to systemic barriers (such as the refugee class). However, more in‐depth study is needed into the IRCC's culture and attitude towards GBA+ as well as full content analysis of GBA+ of a larger sample of recent initiatives.
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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 | 0.000 | 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 | 0.001 |
| 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 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".