A Health-Based Case against Canadian Arms Transfers to Saudi Arabia.
Bibliographic record
Abstract
, serious violations of human rights or international humanitarian law. The stated aims of Canada's arms export licensing decision-making process are, similarly, to assess such risks on a case-by-case basis. This paper examines Canada's ongoing arms transfer arrangements with Saudi Arabia in light of health-related international humanitarian and human rights law considerations enumerated in the Arms Trade Treaty. It assesses available information suggesting serious violations that implicate acts of commission by the Saudi-led coalition in the conflict in Yemen. The article centers on questions about the potential health-related consequences of Canadian-made, Saudi-coalition-used arms for people in Yemen and how risks are being assessed in export decision-making processes. Ultimately, it argues that Canada is failing to meaningfully take into account the possible negative impacts of its arms exports on people's health and health care in Yemen. It counters the government's approach to risk, which it argues is serviceable to exporter interests, with a health-based precautionary approach to exports.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".