Bibliographic record
Abstract
Cet article se penche sur l’écrivain Ferenc Herczeg (1863-1954), l’un des premiers représentants de la culture midllebrow hongroise, tombé dans un oubli presque total, pour la raison, notamment, qu’il figure justement dans la vaste zone grise qui sépare la culture d’élite de la culture de masse durant la première moitié du 20e siècle. Après avoir donné un bref aperçu de sa carrière, nous analyserons les thèmes et les procédés caractéristiques de son oeuvre, et présenterons les supports qui l’ont diffusée (livres, séries, presse) et, dans un dernier temps, nous analyserons sa dimension transmédiatique à travers les adaptations cinématographiques que cet auteur a suscitées pour éclairer la tendance des logiques culturelles vers le « moyen » et les facteurs politiques, économiques et culturels contribuant à la formation d’un public moyen hongrois.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".