“Emotional Importance of Walls.” An Agoraphobic Look on Canadian Wilderness in Steff Penney’s The Tenderness of Wolves
Bibliographic record
Abstract
La notion de «mentalité de garnison» de Northrop Frye est un point de départ pour l’analyse de l’espace canadien sous le prisme de l’agoraphobie. Contrairement au «royaume paisible», que Frye associe à un projet non réalisé, la «mentalité de garnison» est bien enracinée dans un lieu et liée à des notions telles que «espace» et «nature sauvage». Le personnage principal du roman de Stef Penney, Madame Ross, fait un voyage vers le Nord, paysage vide qu’elle redoute, et enrichit sa narration d’une perspective extrêmement agoraphobe. Bien que l’énigme d’un meurtre constitue le principal centre d’intérêt du roman, l’objectif de cet article est d’explorer les rapports entre les concepts tels que «mentalité de garnison» et «agoraphobie» et de manière plus générale de réfléchir sur l’intérêt des théories de l’agoraphobie dans la lecture du paysage canadien.
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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 | 0.019 | 0.020 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".