On the dialectological landscape of Arabic among the Jewish community of Beirut
Bibliographic record
Abstract
The research reported here is based on dialectological fieldwork among Lebanese Jews from 2006 to 2015. In the 20th century most Jews of Beirut lived in the Jewish Wādi ˀAbu Žmīl quarter, an area measuring 300 metres by one kilometre. Very few families lived in other parts of the city. The Beirut community consisted of Jews originally Lebanese, Syrian Jews from Aleppo and Damascus, numerous Ashkenazi Jews, Jews originally Maghrebi, some Kurdish Jews, Jews from Turkey and Greece, especially Salonika, and Sephardi Jews originally from Andalusia who reached Beirut after their expulsion from Spain in 1492. The Beirut Jews’ dialect differed from that of the Sidon Jews, but in many respects also from the dialects of the Beirut Arabs, lacking highly typical phenomena such as the Imāla. Like diverse other Modern Judeo-Arabic dialects, this one embraces the vast array of vocabulary used in Jewish life. At its height Beirut’s Jewish community numbered several thousands, but over time it dwindled and disappeared — together with its dialect. Most of its speakers left, many of them for Israel, where the fieldwork was undertaken.
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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 | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".