Canada at the “Crossroads”: Global Citizenship, Narrative History, and The Canadian Museum
Bibliographic record
Abstract
This essay considers the intentions of the twenty-first century narrative history museum in relation to the museological genre’s predecessor in eighteenth-century France. In particular, the example of the newly-founded Canadian Museum for Human Rights, Canada’s first and only museum dedicated entirely to the subject of human rights, and the first federal museum to be erected outside of the nation’s capital in 40 years, signals great change in the contemporary concept of “nation”. The globalized world we inhabit has given rise to a new historiography: one that is transnational and that addresses such universal issues as human rights, oppression, violence, and pandemic crises such as AIDS. In light of the new historiography and political landscape of our shared global community, this essay considers the impact of globalization on the museum institution, by examining the foundations and conceptual development of the most recent type of narrative history museum to appear in Canada. Broadly speaking, this article asks what it means to present the new historiography in the context of the contemporary narrative history museum, while exploring the implications of exhibiting this
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.039 | 0.041 |
| Scholarly communication | 0.021 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".