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Record W3118250392

A Health-Based Case against Canadian Arms Transfers to Saudi Arabia.

2020· article· en· W3118250392 on OpenAlexaffabout
Rhonda Ferguson, Zarlasht Jamal

Bibliographic record

VenuePubMed · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsTreatyCommissionHuman rightsPolitical scienceGovernment (linguistics)International tradeInternational humanitarian lawState (computer science)Right to healthInternational lawBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

, 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.005
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.136
GPT teacher head0.368
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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