Contesting home and native land : Tessa McWatt’s Out of My Skin and Drew Hayden Taylor’s “A Blurry Image on the Six O’clock News”
Bibliographic record
Abstract
The events of summer 1990 at Kanesatake and Kahnawake, known as the Oka Crisis, have proven incredible motors of representation, generating texts across genres, media and disciplines. In this essay, I address two literary texts that engage with the crisis : Tessa McWatt’s novel Out of My Skin and Drew Hayden Taylor’s short story “A Blurry Image on the Six O’clock News.” Both fictions integrate images from the mainstream news coverage as a way of drawing readers’ attention to the status of the events as “public,” as shared by and relevant to Canadian society at large. At the same time, these fictions show the news to be radically contingent. They present the crisis not as a stable object of knowledge but as a field of public discourse which speaks of violence but also of the potential for intervention and transformation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.025 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".