Decolonizing the Holocaust: Curatorial Possibilities at the Montreal Holocaust Museum
Bibliographic record
Abstract
Heritage professionals across Canada and around the world are beginning to explore how decolonization can be applied to museum exhibits, collections, and programing. The Montreal Holocaust Museum (MHM), which was founded by survivors in 1979 and launched its current permanent exhibit in 2003, recently announced that it will be relocating to a new building and updating its exhibit. As such, this is an ideal time to consider how the MHM can respond to the changing landscape of museum practice in the twenty-first century. Is decolonization a process that can be meaningfully applied to Holocaust museums and, if so, how can the MHM’s permanent exhibit critically engage with issues surrounding settler colonialism and Indigeneity? This article explores three narrative themes within the museum: Canadian history; human rights; and Palestine/Israel. While the exhibit reinscribes settler colonial narratives and ideologies, it also contains multiple entry points that curators can use to deploy decolonial museum practices. A decolonial MHM can retain its specific focus on the genocide of European Jewry while also illuminating the colonial structures that visitors, museum content, and Holocaust memory are entwined within.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.053 | 0.037 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".