Home beyond Borders and the Sound of Al-Andalus. Jewishness in Arabic; the Odyssey of Samy Elmaghribi
Bibliographic record
Abstract
In their conversation about music, Edward Said and Daniel Barenboim discuss a process of seeking home in music and literature. For Moroccan-Jewish superstar Samy Elmaghribi (Solomon Amzallag), who migrated to France and Israel and then settled for most of his life in Montreal, Canada, the reference to Al-Andalus through the sound of the nouba became his home. Beginning his career in his native country of Morocco as a singer and composer of modern Moroccan music, in Montreal, Samy Elmaghribi became the cantor in the Spanish and Portuguese Synagogue, the oldest Jewish congregation in Canada. Based on ethnographic research and investigation within the archives of the artist, the authors suggest that Samy Elmaghribi created a sense of home in music, a homeness, one that transcends our present understanding of Arabness and Jewishness, religiosity and secularism, tradition and creativity. Focus on Samy Elmaghribi, an artistic persona emblematic of his generation, demonstrates how the contemporary reassessment of renowned Jewish artists’ North African heritage is often misread in light of the political present. This example encourages us to rethink the musical legacy to which these North African Jews contributed beyond what is labelled Judeo-Arabic, traditional, religious, or secular.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".