The Global Engagement of Museums in Canada
Bibliographic record
Abstract
The Global Engagement of Museums in Canada examines Canadian museum diplomacy, assessing the international activities of Canadian museums to consider the ways these institutions act as cultural diplomats on the global stage. The report presents the results of a multi-partner collaborative research project addressing the work of ten institutions, including the Art Gallery of Alberta; Aga Khan Museum; Canadian Museum of History; Canadian Museum of Immigration at Pier 21; Montreal Museum of Fine Arts; Museum of Anthropology at UBC; National Gallery of Canada; Ottawa Art Gallery; Pointe-à-Callière, Montréal Archaeology and History Complex; and the Royal Ontario Museum. Focusing on the period of 2009 to 2019, this report highlights new activities and methods within museum practice, while also grounding these within the context of developments in the last decade. Drawing on archival research, document analysis, and interviews with museum professionals, this research establishes baseline data on the global reach of Canadian museums and identifies best practices to share with the museum sector and cultural diplomacy community. Comprised of three sections, the report begins by presenting the framework for the project, explaining the logic behind the selection of institutions and the pedagogical considerations that informed our collective methodology. Second, the report provides a review of the literature in the field of cultural diplomacy, situating the research project. And third, the core of the project, are ten studies of specific institutions, drawn from the fieldwork conducted by the team. These institutional reports demonstrate the ways in which museums engage with a range of global activities and actors. They further address developing trends in the sector, while also suggesting future avenues for research. The Global Engagement of Museums in Canada is a research project led by Primary Investigators Jeffrey Brison and Sarah E.K. Smith. Funded by a Mitacs Accelerate Grant, the initiative is a collaboration between the Montreal Museum of Fine Arts and Queen’s University.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.032 | 0.013 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".