Bibliographic record
Abstract
Par les nombreuses études qu’il lui a consacrées, Leo Strauss a grandement contribué à la réhabilitation des écrits socratiques de Xénophon (Mémorables, Banquet, Apologie et Économique). Or, accordant plus d’importance à ce qu’un texte passerait délibérément sous silence qu’à ce qu’il affirme en toutes lettres, l’herméneutique straussienne est loin de faire l’unanimité parmi les interprètes de Xénophon. Après avoir exposé les principales raisons pour lesquelles l’intérêt de Strauss pour Xénophon ne s’est jamais démenti, cette étude se penche sur un cas particulier, celui des nombreuses exégèses que Strauss a proposées de Mémorables IV 4, où Socrate définit la justice en termes d’obéissance aux lois. L’analyse approfondie de ces exégèses met en lumière les écueils et les apories de l’herméneutique straussienne.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".