L’approvisionnement de la défense du Canada : Les projets d’avions de combat dans un monde en mutation
Bibliographic record
Abstract
Face à la transformation de l’ordre international au cours de la dernière décennie, le Canada prévoit d’augmenter ses dépenses militaires. Néanmoins, l’approvisionnement de la défense demeure un défi lorsqu’il est question d’acquérir les capacités militaires permettant de répondre à ce nouvel environnement sécuritaire. À cet égard, comment cet environnement influence-t-il les projets d’acquisition majeurs de la défense ? L’article vise à retracer les facteurs expliquant l’approvisionnement de la défense à partir d’une approche mécanistique. Bien que l’environnement sécuritaire façonne l’élaboration des besoins, les projets d’avions de combat analysés sont également influencés par différentes considérations politiques au cours du processus d’approvisionnement et par les conditions du marché de la défense.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".