Bibliographic record
Abstract
La mondialisation est souvent décrite comme un phénomène principalement économique, et l’intérêt d’une approche anthropologique est d’en saisir la dimension géo-culturelle. Notre but est de faire apparaître tout l’intérêt de cette perspective en nous référant aux travaux d’Arjun Appadurai. Ce dernier met en évidence la crise de l’État-nation traditionnel et l’impact de la circulation des individus et des informations. Dans ce contexte, l’imagination joue un rôle essentiel, il est possible de produire de nouvelles localités. On confronte ici l’analyse d’Appadurai à une autre perspective qui souligne aussi l’importance des déplacements de population, mais place l’accent sur la dimension bio-politique de cette situation. En nous référant aux travaux de Michel Foucault et de Giorgio Agamben, nous montrerons que la prise en compte de cette perspective bio-politique peut permettre de mieux comprendre certains aspects de la mondialisation qui échappent à l’approche géo-culturelle.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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; both teacher heads agree on what is shown here.
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".