La bibliothèque imaginaire de l’humanité souffrante dans la trilogie Soifs de Marie-Claire Blais
Bibliographic record
Abstract
Cet article examine la façon dont Marie-Claire Blais, dans la trilogie Soifs , convoque des personnages et des textes significatifs de la littérature afin de mettre en relief l’une des constantes thématiques de la trilogie, à savoir la souffrance et l’innocence des victimes du xx e siècle et de l’époque actuelle. Par son ampleur et son insistance, le travail intertextuel tend à se présenter comme une réflexion sur la littérature, conçue non pas comme un refuge dans lequel des consciences troublées par le chaos et la violence du monde d’aujourd’hui peuvent trouver un peu de paix et de beauté préservées de ce même chaos, mais comme un lieu de distance d’où s’établit un point de vue sur le monde, un lieu où le sujet contemporain peut retrouver des traces de ses propres interrogations sur le mal et sur la mort.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| 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; 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".