The Fate of the Oolichan: Prospects of Eco-Cultural Restoration in Eden Robinson's Monkey Beach
Bibliographic record
Abstract
In Monkey Beach Haisla/Heiltsuk-Canadian writer Eden Robinson depicts both the social disintegration and dynamic adaptation that result when the cognitive maps of a traditional culture are compromised by new realities. In the novel, colonization, industrial development, and ecological degradation have irrevocably changed the “old ways” of the Haisla. The oolichan, a smelt-like staple of the traditional Haisla diet, has been all but extirpated in the rivers of the tribe's ancestral territory. Economic and social realities have changed radically as well. These factors result in the growing irrelevance of Haisla traditions, threatening the integrity of their social cognitive maps. Through the topos of “fascinating cannibalism” Robinson frames a canny critique of literary hermeneutics, fabricating an “authentic” account of Haisla subjectivity and creating moments that are fraught with ambiguity and charged with undisclosed cultural significance; she thus urges readers, in the words of Doris Sommer, to “proceed with caution”. Ultimately, Robinson's assertion of cultural difference troubles the novel's easy assimilation into the Canadian postcolonial literary canon.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.018 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".