Braided Words: Re-storying Holocaust Testimony through Indigenous-Jewish Dialogue
Bibliographic record
Abstract
This article explores how material culture and shared testimony can be the basis for relationship-building between Indigenous peoples and Jews in Canada. It relies on Indigenous Métissage, a decolonizing methodology that uses artefacts to re-story Indigenous-settler relations. Drawing on their experiences as intergenerational survivors of the Holocaust and of Residential Schools, the authors apply this practice to the wartime diary of Melania Weissenberg, a Polish Jew who survived the Holocaust and immigrated to Canada as a war orphan in 1948. By exploring key points of entanglement, the authors create a braid wherein Mi’kmaw and Jewish narratives overlap, intersect, and knot together. This sort of dialogue can illuminate the structures and processes of settler colonialism while beginning to transform Indigenous-settler relations. Although the analysis addresses histories and legacies of genocide, it also shows how Indigenous and settler experiences are related through tradition, place, and memory.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.022 | 0.027 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".