A First Description of Arabic on The South Coast of Iran: The Arabic Dialect of Bandar Moqām, Hormozgan
Bibliographic record
Abstract
Abstract Arabic has been spoken as a mother tongue in Iran since pre-Islamic times, but a number of the Arabic dialect groups scattered across the country have not been documented. In this study, we provide a first account of Arabic on Iran's southern coast, with a description of the dialect of Bandar Moqām in western Hormozgan Province. Using the Atlas of the Languages of Iran (ALI) linguistic data questionnaire as well as supplementary elicitation and oral texts, we have documented salient elements of its lexicon, phonology and morphosyntax. Our analysis confirms that Bandar Moqām Arabic fits into the wider Gulf Arabic dialect area, yet is internally heterogenous. On the one hand, it shares many features with the regionally dominant ‘Bedouin’ type Gulf Arabic koine, but it also aligns with distinctive structures—both retentions and innovations—in the more ancient ‘Sedentary’ Gulf dialects that originated in southern Arabia. Further, it exhibits a series of structures in common with Mesopotamian Arabic and its descendants that reached as far as Central Asia during the Arab con-quest of greater Persia and are still spoken there today.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".