Bibliographic record
Abstract
This thesis analyses Prime Minister Stephen Harper’s Apology for the Indian Residential School System and its media coverage as a process of re-covenanting. The author demonstrates that, by splitting the totem of the identity of Canada into a sinning chapter and an essential national character, members of the totem domain were able to sacrifice the totem of Canada, which had been polluted through violations of the beliefs in equality and human rights in the residential school system though the symbolic sacrifice of the leader and representative of the people, the Prime Minister. After sacrificing the totem of the sinning nation through the humiliation of the confession of sin and apology, the totem was regenerated to its unpolluted, ideal state. This apology process constitutes a narrative of re-covenanting in line with Abrahamic and more universal religious structures, reaffirming our commitment to the values of the apology.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.055 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.013 |
| 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".