Bibliographic record
Abstract
Cet article a pour sujet les origines et la floraison, entre les années 1930 et 1960, de ce qu’on appelle aujourd’hui le country noir. Situant ce genre dans le sillage de William Faulkner et Erskine Caldwell et dans le contexte d’un roman noir américain qu’on a trop souvent tendance à réduire au thème hammetto-chandlerien de la « ville pourrie », il en analyse les principales options narratives ainsi que les caractéristiques matérielles, dans une perspective à la fois esthétique et sociologique. Après avoir relié l’essor du genre à celui du livre de poche (paperback) dans les années 1950, il s’interroge sur les raisons de son succès, qui apparaît paradoxal à l’heure où la société américaine – et les lecteurs de paperbacks avec elle – semble se reconstruire autour d’un nouveau paradigme essentiellement urbain, le white collar (col blanc), aux antipodes des criminels solitaires du Sud ou de l’Ouest qui peuplent le country noir.
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.037 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".