Bibliographic record
Abstract
L’édition en contexte francophone minoritaire au Canada pose des défis particuliers qui obligent les maisons d’édition à faire front commun pour assurer la diffusion de leurs livres au-delà des frontières de leur province d’origine. Pourtant, le milieu de l’édition, comme tout domaine commercial, fonctionne selon les lois du marché, de l’offre et de la demande et de la concurrence qui font en sorte que les éditeurs sont en compétition entre eux pour la vente de livres. Les maisons d’éditions cherchent également à se faire une réputation solide. S’engage alors une lutte pour le capital symbolique. Celle-ci est particulièrement virulente entre deux maisons d’édition franco-ontariennes dans les années 1990, soit les Éditions du Nordir fondées en 1988 et les Éditions Prise de parole, mises sur pied en 1973. Cet article analyse divers documents d’archives ou publiés afin de mieux comprendre ce qui est alors en jeu.
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 | 0.003 | 0.005 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".