Bibliographic record
Abstract
De son propre aveu (Essais II, 17) Montaigne n’était pas très sportif. Pourtant, dès la première édition des Essais il y inséra de nombreuses allusions aux sports et de fréquentes métaphores tirées de pratiques athlétiques.De même, pendant son voyage en Allemagne, Suisse et Italie il assista — à une exception près — à toutes les manifestations sportives qui se présentèrent, préférant toutefois celles qui impliquaient la noblesse ou qui lui rappelaient la Rome ancienne. En France à l’époque il y avait très peu de possibilités de regarder des concours athlétiques, et encore moins de parler sport avec des gens de sa classe sociale et intellectuelle. En Italie, il a pu faire les deux, et se réjouissait d’être invité parmi des nobles florentins à discourir un après-midi sur l’escrime.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 | 0.000 |
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".