Closing the chapter: A case study of government communications preceding the 2008 apology to residential school survivors
Bibliographic record
Abstract
This research examines the Government of Canada’s changing discourse in relation to the apology to residential school survivors in the two-year period leading to the apology, during which time the Conservative Government of Canada was in power. A combination of critical discourse analysis and grounded theory was used to analyze six key documents or statements related to the apology created from 2006 to 2008. This research seeks to identify themes in the discourse and consistencies throughout the two year time period, despite the vastly changing discourse. Findings reveal that themes present in the discourse leading up to the residential school apology are mostly consistent with those found in apology literature. Findings also reveal that the concept of “closing the issue” was consistent throughout the discourse, despite the Government of Canada’s apparent shift in stance on this issue.
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.039 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| 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".