L'imaginaire forestier : une géocritique de trois romans franco-ontariens
Bibliographic record
Abstract
Ma thèse s’inspire des possibilités d’analyses que permet l’évocation de l’espace forestier en littérature. En étudiant La quête d’Alexandre d’Hélène Brodeur, L’Obomsawin de Daniel Poliquin et Un vent se lève qui éparpille de Jean Marc Dalpé, je montre que la forêt du Nord ne sert pas exclusivement de cadre à la diégèse, mais elle participe tantôt à la structure sémiotique de l’œuvre en suscitant les émotions des personnages, devient parfois personnage, et symbolise ailleurs une quête utopique. Ce travail se fonde sur l’approche géocritique, cette « manière de concevoir [la littérature] comme un espace imaginaire » et les travaux de Gaston Bachelard, de Robert Harrison, de Catherine Addison et de Margaret Atwood qui ont exploré les liens entre l’espace forestier et les significations qui lui ont été associées.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.018 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".