Voices in Australia's Aboriginal and Canada's First Nations Literatures
Bibliographic record
Abstract
Kim Scott suggests in his text "I Come from Here" by means of "yarning" that the authority of Indigenous people and language is primary to an authentic "sense of place." Scott uses an accumulative, episodic, and personal narrative style to argue that the return "to," and consolidation of cultural material "in," a "community of descendants of the informants" must be founded upon principles of community development. Collaboration between Indigenous and non-Indigenous people by sharing of ancestral material with ever widening, concentric circles is how this process results in respect and partnership that empowers community life. Eden Robinson explores in her text "99.99% True & Authentic Tales" with humor how the past and present coexist in contemporary Haisla life. In the process, Robinson also depicts some of the challenges faced by Canada's First Nations writers, whose readers can become so determined to experience the culture represented to them that they wish to live not only in an author's hometown but in her very home. In this way Robinson explores issues of voice, authenticity, and the process of making meaning: to whom does a story belong and who has the right to tell it? How can a story be told?
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.056 | 0.034 |
| Scholarly communication | 0.019 | 0.005 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.005 | 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".