DE LA PÉRIPHÉRIE AU CENTRE : ÉVOLUTION DE L’ÉTUDE DES IMPRIMÉS POPULAIRES QUÉBÉCOIS
Bibliographic record
Abstract
Depuis les années 1970, la recherche sur l’imprimé populaire au Québec a fait des pas de géants. L’objectif de cet article consiste d’abord à cerner les acquis dans ce champ au cours des 50 dernières années. Ce portrait nous permet ensuite de proposer trois pistes à creuser, dans une perspective holistique qui soutient qu’après avoir étudié l’imprimé populaire pour lui-même, il importe désormais de le mettre en relation avec l’ensemble de la production littéraire québécoise dite légitime. Par la démonstration du rapport dialectique qui unit les romans fasciculaires publiés par les Éditions Police-Journal dans l’après-guerre et le circuit des oeuvres canoniques, cet article entérine le postulat de Marc Angenot selon lequel « paralittérature » et littérature ne peuvent exister l’une sans l’autre.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.000 |
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".