Bibliographic record
Abstract
L’ambition est de mettre en ordre, c’est-à-dire ordonnancer pour faire sens, les idées, les résultats, les concepts et les théories qui s’y rapportent, les méthodes d’analyse valorisées, etc. autour d’une carrière d’enseignant-chercheur et des travaux réalisés depuis une dizaine d’années. L’enjeu est de parvenir à articuler un parcours d’homme et de chercheur avec ses thèmes récurrents et leurs méthodologies pour valoriser ses problématiques dominantes, puis de mettre en perspective ce bagage en ouvrant de nouvelles pistes. Il parait important, mais aussi délicat, de montrer comment ce positionnement s’est construit, quelle est l’évolution du sens du travail et comment s’est réalisée, forte de rencontres scientifiques et humaines, une insertion dans la communauté des historiens du sport.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".