Bibliographic record
Abstract
Le numérique a changé la science. Il permet la diffusion généralisée et ouverte des travaux de recherche et encourage la construction de communs de la connaissance. Mais il a modifié également la conception de la recherche en accentuant la captation de données et de traces, souvent dans des conditions épistémologiques et déontologiques douteuses. En particulier, l’usage par l’industrie de l’influence des travaux appuyés sur les traces menées en psychologie, sociologie et marketing met en danger toute l’architecture sociale au profit de quelques plateformes géantes. Comment dégager un nouvel espace démocratique dans ce cadre ? En considérant que l’internet est plus qu’un outil, et constitue un écosystème dans lequel nous sommes plongés, et donc dans lequel l’ensemble des affrontements ou coopérations qui font l’histoire humaine se retrouvent et s’appuient sur de nouvelles formes de régulation.
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 | 0.007 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".