Bibliographic record
Abstract
Le terme « racisme environnemental », lancé par Benjamin Chavis et repris par Elliot Page, désigne la tendance des pays occidentaux à stocker des déchets toxiques ainsi qu’à installer des entreprises rejetant des polluants près des communautés racisées. Celles-ci répondent au danger de différentes manières. Entre autres, toute une « littérature trash » est en train de voir le jour, à cheval entre l’écopoétique, le post-Anthropocène et le militantisme politique. Les écrivains ne chantent plus le paysage canadien, ainsi que la vie traditionnelle des chasseurs amérindiens, mais braquent leurs objectifs sur le « ventre » de Montréal pour témoigner de la vie de tous ces Autochtones qui représentent 1% de la population de la métropole, mais 10% de ses SDF. L’article analyse le roman Tiochtiá:ke de Michel Jean, représentatif de ce genre émergeant qui est le roman citadin autochtone, et ses rapports avec la « littérature trash ».
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 | 0.001 | 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 | 0.009 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".