Bibliographic record
Abstract
This article examines the politics of representation in Thomas King`s indigenous narratives by analyzing his short stories in One Good Story, That One and his essays in The Truth about Stories: A Native Narrative. In his writings, not only does King criticize the process of building a modern nation-state in Canada, particularly the ways in which colonizing governing ideology becomes dominant in the process, but he also attempts to construct narratives that can contribute to (re)conceptualizing indigenous peoples` identity. This article is particularly concerned with the ways in which King`s representation of indigenous narratives serves as local narratives that can run counter to a colonizing central or national narrative. This study hopes to show how King seeks to articulate resistant local voices by indigenous peoples and contributes to (re)gaining the spatio-cultural and political position of indigenous peoples` narratives in Canada. Furthermore, it will assist us to (re)discover and (re)consider a cultural and political topography of indigenous peoples in Canada, in the situation that voices of indigenous peoples have long been marginalized, distorted, and erased.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.016 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".