Bibliographic record
Abstract
Les compétitions artistiques et sportives de type grec (agônes) connaissent leur apogée quantitatif et géographique sous le Haut-Empire. Musiciens, coureurs, boxeurs sillonnent le monde méditerranéen, de Rome à Antioche et de la Gaule à l’Afrique, pour tenter de remporter des concours aux récompenses toujours plus spectaculaires. Quand un monument est érigé en l’honneur d’un multiple vainqueur dans les grands agônes, on y grave parfois la liste de ses succès comme preuve de son excellence. Les palmarès de champion n’ont jamais été aussi souvent immortalisés dans la pierre que durant la période qui va de la mort de César jusqu’au milieu du IIIe s., quand on a quasiment cessé de graver ces textes. Le présent ouvrage étudie ce genre épigraphique particulier à travers un corpus de quelque 270 documents. Les palmarès ont leur propre histoire, faite de modifications subtiles ou de ruptures étonnantes ; ils sont aussi la mémoire parfois extraordinairement détaillée et vivante de la vie des champions et de leurs exploits.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".