Bibliographic record
Abstract
Australie, 1829. John Batman, aventurier et homme d’affaires, entreprend avec une milice constituée de colons, de repris de justice et de métis, d’éliminer les Aborigènes qui gênent ses plans de conquête. Une véritable battue au cours de laquelle ces hommes, aveuglés par la promesse d’un lopin de terre ou d’un peu d’argent, se révéleront dans toute leur cruauté. Déployant une langue incandescente qui rappelle le Méridien de sang de Cormac McCarthy, Rohan Wilson évoque et interroge, à la manière d’un western crépusculaire, la sauvagerie et la brutalité humaines. S’inspirant d’un épisode réel de la colonisation de la Tasmanie dont il est originaire, il donne à ce premier roman, qui lui a valu d’être couronné par plusieurs prix littéraires dans son pays, une force et un souffle inoubliables.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.012 |
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".