Bibliographic record
Abstract
De l'épopée à la nouvelle en passant par le roman, la littérature s'est lentement éloignée de l'idée de totalité et s'est plutôt acheminée vers l'expression du fragmentaire, le monde devenant de plus en plus complexe, éclaté et inexprimable dans son ensemble. Pourtant, il n'est pas certain que tous les écrivains aient abandonné le projet de dire l'indicible et d'exprimer, inconsciemment ou non, dans des textes brefs la totalité de l'expérience humaine. Le genre narratif bref, dans son versant fantastique, connaît au Québec, dans les vingt dernières années, un essor important, et l'on retrouve dans ce corpus, autour d'écrivains comme André Carpentier, André Berthiaume, Aude, Gilles Pellerin, Daniel Sernine et Marie José Thériault, cette volonté de renouer avec le magique et l'épique, tout en prenant la mesure du réel.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".