Beacco Jean-Claude, Bertrand Olivier, Herreras José Carlos & Tremblay, Chirstian. (Dir.)., 2022, La gouvernance linguistique des universités et établissements d’enseignement supérieur. Palaiseau : Éditions de l’École Polytechnique.
Bibliographic record
Abstract
Paru en 2022 aux éditions de l’École Polytechnique, cet ouvrage de 434 pages fait suite au colloque » Pour une gouvernance linguistique des universités et des établissements d’enseignement supérieur » qui s’est tenu à l’École Polytechnique et à l’Université Paris Cité les 8 et 9 novembre 2018. L’ouvrage a été coordonné par Jean-Claude Beacco, Olivier Bertrand, José Carlos Herreras et Christian Tremblay. Il comporte trente-trois contributions formalisant par écrit des communications orales aya...
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".