La contribution canadienne à la sécurité et à la stabilité en Haïti, 2004-20141
Bibliographic record
Abstract
Depuis le déploiement de la Mission des Nations Unies pour la stabilisation en Haïti en 2004, le Canada s’est présenté comme un partenaire clé d’Haïti dans la réforme du secteur de la sécurité. L’intervention canadienne a été significative et a certainement contribué au progrès accompli, notamment en ce qui a trait à la réforme de la Police nationale d’Haïti. Toutefois, l’accent mis sur les aspects techniques de la réforme de la police, l’absence d’une stratégie claire guidant l’intervention canadienne, une redéfinition des priorités guidant la distribution de l’aide internationale par le Canada après 2010 et l’incertitude face à l’avenir de la présence des Nations Unies en Haïti ont ralenti les efforts canadiens. Le Canada doit se doter d’une nouvelle stratégie envers Haïti afin d’assurer les progrès accomplis et d’éviter de commettre à nouveau les erreurs du passé.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".