Bibliographic record
Abstract
Collection dirigée par Josiane Boulad-Ayoub et Bjarne Melkevik « Le soleil ne transgressera pas son orbe (métra).Ou alors les Érinyes, aides de la justice, le découvriront.» (Héraclite, Aphorisme 94) Les Érinyes, déesses de la vengeance, dont Héraclite fait les auxiliaires de la justice, se métamorphosent à la fin de l'Orestie d'Eschyle en bienveillantes Euménides.Fille de Thémis dans la mythologie, DIKÈ, alliée cependant aux nouvelles divinités Athéna et Apollon, s'humanise dans la tragédie, se laïcise, se politise en s'associant aux progrès de la démocratie, du débat juridique et politique, du développement des lois.DIKÈ n'était pas, à Athènes, la mimésis d'une essence de la justice, elle était à la fois l'idée abstraite du droit et, sous de multiples formes, l'action judiciaire.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.877 | 0.801 |
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; the direct Gemma label and the distilled Codex classifier 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".