Bibliographic record
Abstract
Au début du XXème siècle, la représentation littéraire québécoise couvrait l’ensemble de la zone habitée – la plaine du Saint-Laurent –, mais il aura fallu quelques décennies pour voir émerger trois régions ouvertes depuis peu – ou en passe de le devenir – à la colonisation : l’Abitibi, la Sagamie (Saguenay – Lac-Saint-Jean), et la Côte-Nord. C’était et c’est toujours dans l’ordre des choses, la naissance d’une vie littéraire étant tributaire des infrastructures culturelles qu’une population décide de se donner. Nous posons ici l’hypothèse que, concurremment à la mise en place de ces équipements de base, le Département d’études littéraires de l’Université du Québec à Montréal aura joué un rôle non négligeable dans l’éclosion, au cours des trente dernières années, d’une littérature des régions ouverte sur le monde. Approche sociohistorique pour mieux déployer la carte.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".