Towards Decolonization and Indigenization of Historical Knowledge and Practices at University: A Collaboration Between a History Museum and an Undergraduate History Course
Bibliographic record
Abstract
This chapter examines the role a history museum, committed to the process of Indigenisation, can play in the academic training of university students enrolled in a Canadian history course. The qualitative case study addresses the possibilities inherent in an educational partnership between the McCord Stewart Museum and a course in the history of Indigenous peoples in Canada offered at the Université du Québec à Montréal. Primary findings tend to reveal that these collaborations may not only be effective in supporting students' formal learning and historical consciousness but may equally contribute to the enhancement of both teaching practices and museum education. Additionally, the research has set forth the complex and continuous negotiation required to tackle Indigenous perspectives within settlers' ways of doing and assessing. Pedagogically oriented collaborations between the museum and university may engender significant and multidimensional changes in all parties involved and contribute toward a decolonised and Indigenised Quebec society.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.040 | 0.032 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.003 | 0.007 |
| 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".