Bibliographic record
Abstract
Canada’s Moroccan Jewish community is the third largest diaspora in the world after Israel and France. This article introduces Sephardi Voices, a project to collect, preserve and archive audio-visually the life stories of Jews displaced from Arab/Islamic lands and in the process sketches an overview of the resettlement of one Sephardi migration community, the Moroccan to Montreal. Featuring scholars like Joseph Levy, Yolande Cohen and Jean-Claude Lasry, the integration experience of Moroccan Jews into the anglophone Ashkenazi community and the francophone Québécois society is presented, along with their efforts to build a French-Sephardi institutional structure to preserve their heritage. The article highlights the role of oral history and the aesthetics of remembrance as important vehicles to depict how memories are imparted and identities formed. Today, the Moroccan Jews of Montreal are transnationals and proud to add Canadian to their identity chain of Jewish, Sephardi, Moroccan and French.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".