Bibliographic record
Abstract
Par leurs multiples manifestations au travers le monde, les communs nous invitent à ne jamais réduire l’Histoire politique des sociétés, des technologies et de l’environnement à un processus linéaire. Au mythe d’un progrès scandant l’irréversibilité, ils opposent la puissance de multiples prises sur le réel pour bâtir, transmettre et faire coexister des trajectoires et des récits alternatifs. La coexistence de ces récits ouvre des espaces où le statut et le rôle de l’écrit sont remis en jeu. Les auteurs proposent de faire place à ces expériences d’écriture, et d’en saisir les multiples diffractions. Il s’agira, d’une part, de révéler en quoi l’écrit transforme et diversifie le répertoire d’action des communs, leur définition-même, et l’identité de ceux et celles qui y prennent part. Et, d’autre part, de potentialiser cet espace par la réactualisation et l’hybridation des idées et des actes. En d’autres termes, de se porter « au devant de l’irréversible ».
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.029 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".