Sexual orientation and gender identity in Canada’s ‘feminist’ international assistance
Bibliographic record
Abstract
Canada’s Feminist International Assistance Policy (FIAP), launched in June 2017, marks the first time that sexual orientation and gender identity (SOGI) have been mentioned in an overarching Canadian aid policy. The inclusion of SOGI in the policy document sent an important signal to domestic and international development partners on the need to consider these sources of discrimination and marginalization. This article asks two basic research questions. First, what is the place of SOGI in Canada’s “feminist” international assistance? Second, what additional steps does Canada’s development program need to take to protect the rights of lesbian, gay, bisexual, transgender, and intersex (LGBTI) people in the Global South? Based on an analysis of official documents and secondary sources, we argue that FIAP itself sends only a weak signal about the importance of SOGI-related concerns, but Canadian foreign aid has expanded its understanding of LGBTI issues and has begun to commit dedicated resources to addressing them. Nonetheless, the initial programming (2017–2019) was channelled in an ad hoc manner and through one, major stand-alone commitment, rather than through a broader framework that would guide SOGI’s integration into Canadian programs over the long term. If serious about addressing LGBTI rights more systematically, the Canadian government needs to expand its definition of what SOGI entails and move beyond niche programming to recognize the cross-cutting dimension of LGBTI rights in foreign aid, especially in the area of sexual and reproductive health and rights.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.021 | 0.016 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".