1) Victor-Laurent Tremblay, «L’ambiguité de Neuf jours de haine : roman de guerre dionysiaque et canadien ?», Studies in Canadian Literature/ Études en littérature canadienne, vol. 27, n. 2, 2002, pp. 88-103 ; Richard Patry, «Éclairage à contre-jour de l’expérience d’un dépossédé: les termes francisés dans La vache morte du canyon de Jacques Ferron», Studies in Canadian Literature/ Études en littérature canadienne, vol. 27, n. 2, 2002, pp. 104-122 ; Kenneth Meadwell, «De la réflexion à l’œuvre : une analyse des dossiers scénarique et scriptique du Passager de Gilbert La Roque», Studies in Canadian Literature/ Études en littérature canadienne, vol. 27, n. 2, 2002, pp. 123- 139 ; Anne Brown, «Le parcours identitaire de Dany Laferrière ou Mon cœur est à Port-au-Prince, mon esprit à Montréal et mon corps à Miami», Studies in Canadian Literature/ Études en littérature canadienne, vol. 28, n. 2, 2003, pp. 39-48, Studies in Canadian Literature/ Études en littérature canadienne, vol. 29, n. 1, 2004, Karin Schwerdtner, Karen Bamford (éd.), « Special Section : Women in Motion/ Dossier spécial : femmes en mouvement »
Bibliographic record
Abstract
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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 | 0.019 | 0.014 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.010 | 0.017 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".