Frontières dans les Amériques – Intégration, sécurité et migrations : approches critiques
Bibliographic record
Abstract
Les Amriques constituent un laboratoire de premier ordre pour tudier les frontires et leurs volutions. Non seulement, au cours de la dcennie du monde sans frontires , le continent amricain a multipli les projets d'intgration rgionale avec notamment le MERCOSUR et l'ALENA qui ont vu les pays se rapprocher et abaisser leurs barrires douanires mais, depuis quelques annes, ces mmes frontires sont devenues des points de crispation en raison d'un faisceau de problmes qui se sont amplifis -qu'il s'agisse de trafics en tout genre ou de tensions territoriales. Ces volutions rcentes nous amnent envisager une lecture critique des processus frontaliers qui traversent les Amriques pour mieux les caractriser, la fois dans leurs spcificits continentales et dans la manire dont cet ensemble rend lisibles les grandes tendances mondiales. Dans un contexte global de monte en thorie des tudes frontalires, il peut tre intressant de se demander en quoi une approche continentale permet de faire le point sur des spcificits rgionales, mais aussi de contribuer, de faon originale, cet effort pistmologique (Mezzadra S.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".