The Portrayal of Muslims and Christians in the Traditional Sephardic Tales of Northern Morocco
Bibliographic record
Abstract
The Portrayal of Muslims and Christians in the Traditional Sephardic Tales of Northern MoroccoThe article analyzes the representation of Muslims and Christians in the folktales of the Sephardic Jews of northern Morocco. The stories are selected from the collection of Arcadio de Larrea Palacín, Cuentos populares de los judíos del norte de Marruecos, published in 1952 and 1953. A very brief historical background of Moroccan Jews will be given in order to better understand the perception that the Jews, as a minority group, had of their Muslim and Christian neighbours. This perception is based on the historical and emotional memory of the Jews as well as their daily coexistence with the other religious groups. We also examine how the tales fulfill an essential function of folklore, which is to preserve and reinforce the collective identity and moral values of the narrating group. Obraz muzułmanów i chrześcijan w tradycyjnych opowieściach sefardyjskich północnego MarokaW artykule poddano analizie sposób przedstawienia muzułmanów i chrześcijan w opowieściach Żydów sefardyjskich z północnego Maroka. Opowieści zostały wybrane ze zbioru Cuentos populares de los judíos del norte de Marruecos, opracowanego przez Arcadia de Larrea Palacína i opublikowanego w dwóch tomach w 1952 i 1953 r. W celu lepszego zrozumienia sposobu postrzegania chrześcijan i ich muzułmańskich współobywateli konieczne było zwięzłe omówienie tła historycznego dotyczącego Żydów marokańskich. Postrzeganie to oparte było zarówno na historycznej i emocjonalnej pamięci Żydów, jak i na analizie ich faktycznego współistnienia z innymi grupami religijnymi. W tekście badano również, w jaki sposób opowieści spełniają fundamentalne dla folkloru funkcje, to jest zachowanie i wzmocnienie tożsamości zbiorowej oraz wartości moralnych wypowiadającej się grupy.
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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 | 0.001 | 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 | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".