Chapter 6: Bodies on earth: exploring sites of the Canadian ecoGothic
Bibliographic record
Abstract
Canadian texts of an ecoGothic nature make discoveries about cultural fears, anxieties and ancestral/colonial hauntings that expose Canada, and its culturally defined relations with 'wilderness' as a site of Gothic anxiety, as an uncanny space. EcoGothic explores how revisioning a monstrous 'other' that may have once been identified as wilderness, nature and/or the dislocation of the geopsychic self in biotic community, has become as necessary as it is possible. Kaki's recognition and development of revisioned spiritual rituals allows the reader access to revised ways of knowing and becoming that avoid perpetuated and prescribed violence against the human body and animals. The human body as a site of colonial trauma, denigration, sexism and racism likewise presents itself as the 'unsettled' territory in ecoGothic Canadian novels.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; 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".