Bibliographic record
Abstract
Apparu au cours des années 1990 dans le débat universitaire américain, le concept d’offshore balancing a fait l’objet d’un regain d’intérêt durant la présidence Obama. Ce concept propose de maintenir la primauté internationale des États-Unis tout en gardant ces derniers à distance des conflits et des jeux de pouvoir locaux. Partant de ce postulat, nous vérifions la pertinence de cette théorie en étudiant son application au cas du golfe Persique, région dont le système de sécurité dépend grandement de l’activisme américain. Cette mise à l’épreuve empirique dévoile les nombreuses limites de l’approche quant aux aspects pratiques d’un désengagement des États-Unis de la région. En ce sens, si l’offshore balancing reste une approche séduisante à Washington, il demeure un concept superficiel sans réelle considération pour les dynamiques régionales.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".