Moment of silence : constructions of race and nation in narratives of Canadian history
Bibliographic record
Abstract
This project explores the racialized construction of the Canadian nation through the teaching of history and the discourse of multiculturalism, and investigates the ways in which young people experience and make sense of history, nation and race in the context of 'official' narratives of the nation. I begin by reviewing the literature of critical race theory, then use this theoretical framework as a lens through which to review the literature of qualitative studies of young people's historical meaning-making. Following a discussion of the methodological approach, I analyse the construction of race and nation through the discourse of Canadian history, as manifested in a variety of sites, including federal policy, curriculum frameworks, textbooks, and the Historica Foundation's Heritage Minutes. Finally, I present the results of a conversation with youth about their experiences with and views of race, nation and history.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.047 | 0.045 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".