Canada’s Violation of International Law during the 2014–16 Ebola Outbreak
Bibliographic record
Abstract
Abstract The devastating 2014–16 West African Ebola outbreak challenged the authority of the World Health Organization (WHO) to enforce the legally bindingInternational Health Regulations(IHR) that govern pandemic responses. Under Article 43 of theIHR, states parties can only implement additional health measures beyond the WHO’s recommendations if public health rationales or scientific evidence justify such measures. Yet at least fifty-eight states parties enacted additional health measures, mainly travel restrictions to or from Ebola-affected countries. This article explains why Canada’s visa restrictions targeting Ebola-affected countries failed to meet theIHR’s requirements and therefore violated international law. Specifically, Canada’s response went against public health authorities’ consensus views, the best available scientific evidence on disease transmission, and the WHO’s recommendations. In light of its traditional role as a global health champion, Canada must lead by example and abide by international law, including theIHR, instead of picking and choosing which rules to follow and thereby encouraging other countries to do the same.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.037 | 0.007 |
| Scholarly communication | 0.010 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.010 |
| 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".