Fiction d’anticipation et sensationnalisme de la crise dans l’entre-deux-guerres
Bibliographic record
Abstract
Dans l’entre-deux-guerres, la crise est ce qui donne sa cohérence à une large part des discours médiatiques – contaminant le fictionnel comme le non-fictionnel en un sensationnalisme général, argumentatif et narratif. Rhétorique événementielle et, contradictoirement, cadence ordinaire, la crise traverse l’ensemble des rubriques du journal et connecte l’aventure des romans d’anticipation à l’actualité. Ce genre, par ses relations étroites aux formes journalistiques, s’avère ainsi un témoin majeur des mutations du sensationnalisme dans la période, et permet de penser, autrement que sur un modèle de concurrence ou d’hybridation, la relation entre romanesque et information dans la production générale de la vraisemblance des récits médiatiques.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".