We'd rather be 'red' than dead: embracing one's diference through selected Native Canadian fiction for children and young adults
Bibliographic record
Abstract
Native Canadian fiction for children and young adults can be viewed as an important means of cultural transmission and socialisation that contributes, to a great extent, to a community‟s collective identity. Here begins the first problem posed to us: trying to define the concept of culture and to examine in what way(s) oral heritage forms a part of it. Then, some other questions arise because in Canada, the haven of multiple cultures and ethnicities, debates about national identity re-surface repeatedly and continue to haunt the collective imagiNation of the country. Finding out the place of Native peoples and their literatures is even a greater difficulty, due to the legacy of colonialism. Despite the difficulties, new voices are currently being authorised as Canadian, and difference has now turned into the distinctive feature of the national literature. Jeannette Armstrong, an Okanagan writer, artist and educator, is well aware of the strength that stems from this variety of cultures and, in her works, she advocates for a plurality of voices within and outside of her community. Using Armstrong‟s fiction for children and young adults, and looking briefly at some other works by Tomson Highway, George Littlechild, Thomas King and C. J. Taylor, this dissertation examines how literature can be read as a site of resistance and/or of cross-cultural exchange connecting diverse people of different nationalities, generations, languages, religions, genders and social conditions.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".