Bibliographic record
Abstract
Trois livres écrits à chaud au printemps et à l’été 2012 fournissent l’occasion et le moyen de scruter la manière dont le Printemps québécois s’est lui-même mis en images et en mots : témoignages, parfois sous le mode de la poésie, du dessin et de la fiction ; textes et images de création, parfois sous le mode du témoignage ; ensemble, ils ouvrent une fenêtre sur ce Printemps et permettent de le saisir de l’intérieur, de l’aborder en tant que mouvement dans sa globalité et sa complexité, de saisir l’imaginaire qui y est à l’oeuvre, et surtout de le faire rétrospectivement. Seront mis en évidence les sujets individuels et le sujet collectif au coeur du Printemps québécois ainsi que les figures de leur adversaire, puis le passage du Je au Nous – des sujets individuels au sujet collectif – ce qui permettra de cerner tant la mémoire que le projet dont ce mouvement est porteur.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".