Les Littératures de langue française à l'heure de la mondialisation
Bibliographic record
Abstract
Comment les ecrivains quebecois se situent-ils dans le contexte de la francophonie? Qu'en est-il de la litterature quebecoise en regard des autres litteratures de langue francaise? Quels types de liens peut-on etablir entre les differentes aires francophones? Dans quelle mesure les ?uvres contemporaines sont-elles tributaires des propositions formelles fournies par les ecrivains non hexagonaux? Peut-on parler d'un heritage commun et d'une information reciproque? Quelles configurations sont privilegiees? Des ecrivains s'interrogent sur le concept de litterature-monde et temoignent de leurs rapports avec d'autres ecrivains de langue francaise. Le texte de Jean-Marie G. Le Clezio constitue sa premiere conference publique, quelques jours a peine apres l'annonce de son prix Nobel de litterature. Pour lui, «le francais est beaucoup plus qu'une langue. Il est un lieu d'echanges et de rencontres».
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 teacher head, 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".