Towards their own identity: Persons with disabilities in English Canadian fiction.
Bibliographic record
Abstract
Although they make up one of the largest physical minorities in Canada, persons with disabilities are not well represented in English Canadian fiction. Many stories that feature persons with disabilities present them in unflattering, stereotypical ways. Persons with disabilities are portrayed as dependent, pathetic characters that help perpetuate a harmful vision of what disability is. However, certain works of fiction that have been published in the last ten years--for instance, Frances Itani's Deafening and Lori Lansen's The Girls-- treat disability in a more multi-dimensional fashion. The characters in these books are independent people who use their disabilities as a means to identity and even language. With the help of disability scholars such as Lennard Davis, Rosemarie Garland Thomson, and Erving Goffman, this thesis examines English Canadian disabled fiction as a way of establishing the idea that disability constitutes a cultural identity within Canada's multicultural mosaic and that each disability comprises its own subculture.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.035 | 0.017 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 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".