Bibliographic record
Abstract
Au cours des vingt dernières années, le champ de l’épistémologie s’est tellement élargi, en termes d’objets comme de méthodes, que les frontières qui distinguaient traditionnellement cette discipline d’autres domaines d’étude semblent avoir été abolies . La psychologie sociale, les sciences cognitives, la sociologie, l’histoire, les sciences politiques, l’anthropologie ou encore les études de genre, pour ne nommer que celles-ci, revendiquent toutes leur pertinence quand il s’agit de rendre compte de tout ou partie du phénomène de la connaissance humaine. Si pour certains théoriciens, ces prétentions sont légitimes et même bienvenues, d’autres tiennent fermement à l’indépendance de l’épistémologie comme type d’approche et méthode d’analyse. En nous concentrant en particulier sur les récentes publications en français de Roger Pouivet et Pascal Engel, notre but est ici de rendre compte et discuter d’au moins certains des arguments qui animent ce débat.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".