Ternir l’héroïsme : modernité(s) du complot et de l’espionnage févaliens
Bibliographic record
Abstract
L’article propose une relecture de trois oeuvres de Paul Féval (1816-1887) – L’Homme du gaz (1872), Les Mystères de Londres (1843-1844) et La Quittance de Minuit (1846) – à la lumière du récit d’espionnage. Si seul le premier de ces romans peut être considéré comme appartenant à ce genre, tous trois sont construits sur une conspiration visant à renverser un État-nation. L’article met en évidence les éléments typiques du récit d’espionnage à l’oeuvre dans ces romans afin d’illustrer comment ces récits participent déjà d’un schisme fondamental au sein du genre, même si la critique situe généralement l’apparition de ce schisme dans le second tiers du XXe siècle. En déplaçant ce repère, cette étude cherche à montrer que le récit d’espionnage a, dès ses origines, partie liée avec une conception de la modernité marquée par un inexorable sentiment d’impuissance.
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 | 0.002 | 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 | 0.005 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".