Constructing patriotism: How Canada's History Hall has evolved over 50 years
Bibliographic record
Abstract
In this article, I illustrate how the national narrative in Canada's Museum of History has evolved over 50 years. Located in the national capital of Ottawa, the new Canada's History Hall presents a concise overview of a nation, stretching from time immemorial to the present. It was opened on 1 July 2017 as a signature exhibition in celebration of Canada's sesquicentennial. It also represents a fourth manifestation of a national museum narrative for Canada. From humble beginnings in 1967 (when Canada celebrated its centennial), the narrative has changed substantially in response to national policies and societal values. Adopting a critical discourse analysis methodology, and drawing from archival evidence, I analyse how this national narrative has evolved. Canada's History Hall presents Canadian students with a concise national template for remembering Canada's past. Over the past 50 years, this narrative has changed, as curators have employed artefacts and museum environments to construct patriotic pride in their nation. Until 2017, this narrative was blatantly exclusionary of Indigenous voices. More recently, the Truth and Reconciliation Commission of Canada has called for reconciliation in education, including public forums for education. The Canadian Museum of History has responded to this call by weaving Indigenous voices into the national narrative of the new Canadian History Hall. In so doing, I argue, the museum has successfully entwined patriotism with reconciliation against past wrongs.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.087 | 0.063 |
| Scholarly communication | 0.026 | 0.009 |
| Open science | 0.005 | 0.016 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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".