L’Agence nationale de la recherche, fer de lance d’une internationalisation néolibérale de la politique scientifique française (2004-2010) ?
Bibliographic record
Abstract
Cet article interroge la croyance partagée suivant laquelle l’installation de l’Agence nationale de la recherche (ANR) en France serait tributaire d’une internationalisation néolibérale de la politique scientifique française. Pour ce faire, il met à l’épreuve deux hypothèses tirées de cette croyance : d’une part, celle d’un préjugé d’extériorité et d’incommensurabilité de cette agence vis-à-vis du champ scientifique et des fins que se donnent légitimement ceux qui y participent ; d’autre part, celle d’une conception et d’un usage de cet instrument aux fins de conformation à un agenda international empreint de pensée libérale. L’enquête ne montre qu’aucune de ces deux inférences ne s’observe. L’institutionnalisation de l’ANR et les tensions qui l’ont émaillée doivent bien plutôt à l’existence de trois motifs distincts de l’autonomie (conservateur, libéral et solidariste) qui s’affrontent au sein même de la profession académique.
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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".