Behind the Exhibit: Exploring the Processes of Indigenous Rights Representation at the Canadian Museum for Human Rights
Bibliographic record
Abstract
Focusing on the representation of Indigenous human rights at the Canadian Museum for Human Rights (CMHR) in Winnipeg, Manitoba, this study examines how museums can represent, educate, and advocate for Indigenous human rights. The study is based on ethnographic fieldwork carried out at the museum in July 2019 and the literature on anthropology and human rights, decolonizing museum practices, and museums as spaces for human rights dialogue. The study shows how museums can change their history of racist and inaccurate representation of Indigenous people. Through extensive and “deep collaboration” between Indigenous partners and museum staff, Indigenous culture, history, and rights can be portrayed more accurately, ethically, and meaningfully. CMHR staff work closely with Indigenous partners to present personal accounts of Indigenous rights struggles and experiences as part of Canadian shared history. The thesis provides a case study of possible approaches to the representation of Indigenous human rights in museums.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.045 | 0.026 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".