Paul Bleton, La cristallisation de l’ombre (Les origines oubliées du roman d’espionnage sous la IIIe République)
Bibliographic record
Abstract
Depuis déjà plusieurs décennies Paul Bleton revient régulièrement étudier le roman d’espionnage. Son livre paru en 1994, Les Anges de Machiavel, est un essai sur le genre issu de la guerre froide ; plus tard, un long article, paru dans un dossier de la revue Belphégor, « Ce qu’espionner veut dire », passe « par un préalable chronologique, l’espion d’avant le roman d’espionnage, et par un préalable logique, l’obligation d’approfondir ce qu’“espionner” veut dire, voulait dire plutôt, avant qu’u...
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".