CANADA/ÉTATS-UNIS : LES ENJEUX D’UNE FRONTIÈRE, Pierre-Alexandre Beylier, Rennes, Presses universitaires de Rennes, 2016, 368 pages
Bibliographic record
Abstract
University Press, 1976), nous propose un recueil de textes publiés entre 1982 et 2010 dans des revues scientifiques ou des ouvrages collectifs.Certaines contributions ont été actuali sées.C'est le cas notamment de celle traitant de la théorie des dominos (chapitre 11), qui s'est délestée de passages consacrés aux postures USA-URSS du temps de la guerre froide.L'auteur n'a pas pour autant procédé à un grand travail de réécriture, ce dont on lui saura gré.Lectures théorie des jeux, ce type d'ouvrage enrichit considérablement la compréhension des « boîtes noires » d'où se dégagent les buts et les choix de politique étrangère des États-nations modernes.Et il livre bien entendu une multitude de clés utiles pour comprendre et anticiper les risques que pose la twitto-présidence Trump.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".