Surviving childhood trauma: First Nations novels and the Indian residential school
Bibliographic record
Abstract
Indian Residential Schools were a "central element" in "Canada's Aboriginal policy" for over a century, contributing to what is now referred to as "cultural genocide," the attempted "destruction" of "the political and social institutions" of Aboriginal peoples (Truth and Reconciliation 1).This thesis examines the literary representation of the traumatic effects of residential schools in three Canadian novels by three Aboriginal authors: Robert Arthur Alexie's Porcupines and China Dolls (Gwich'in); Tomson Highway's Kiss of the Fur Queen (Cree); and Richard Wagamese's Indian Horse (Ojibway).The life journeys of the male protagonists in these novels structure my analysis: their response to trauma in childhood; the destructive behaviors they develop in adulthood; and the processes of healing that conclude the novels.Residential schools severely disrupted the health of interpersonal and communal relations amongst Aboriginal peoples, and interrupted cultural continuity.My research indicates that these two areas of Aboriginal life are central to the healing processes occurring today amongst Aboriginal peoples and their communities.Aboriginal Elders, and the oral traditions they share, are integral to this process.The health of today's Residential School Survivors is crucial as they are the story-telling guides for the future generations.These oral traditions are incorporated into the novels, and inform my cross-cultural analysis.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.041 | 0.032 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".