Historical Research at the Truth and Reconciliation Commission of Canada
Bibliographic record
Abstract
From 2008 to 2015, the Truth and Reconciliation Commission of Canada (trc) pursued a monumental public history project aimed at bringing widespread attention to Indian residential schools. This project resulted in the publication of the commission's six-volume final report that included nearly 2,000 pages on the history of residential schooling in Canada. Although required reading for anyone interested in this history, the trc report itself offers no indication of the methodology used in its composition. This article addresses this omission by drawing on an analysis of publicly available sources, along with the author's experience researching and writing for the trc. While admitting that the commission's primary functions lay elsewhere, the article proposes three main critiques of its historical research. First, it suggests the necessity of recognizing the trc's origins in litigation and the constraints this placed on the story it could tell. Second, the article points to major methodological issues concerning the collection of archival documents and survivor statements and how these informed the content of the commission's historical report. Third, it highlights the trc's inability to account for experience in any space other than the whole of that occupied by contemporaneous Canada.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.014 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".