Perspectives on Arabic Linguistics XXXIII
Bibliographic record
Abstract
This volume features eight peer-reviewed chapters based on papers presented at the 33rd Annual Symposium on Arabic Linguistics, held at the University of Toronto in 2019. The chapters are divided into four sections: sociolinguistics, phonetics and phonology, syntax, and first language acquisition. They present research on relatively well-studied Arabic varieties such as the Moroccan, Jordanian, and Emirati varieties as well as understudied varieties such as the Palestinian dialects of Gaza and Jaffa, and the Saudi dialects of Al-Ahsa, Ha’il, and Faifi. The chapters address linguistic phenomena that range from language variation and change, the phonemic status and feature composition of rhotics, and the realization patterns of emphatic fricatives to the grammaticalization of aspectual markers, the syntactic and pragmatic aspects of post-wh-questions, and the acquisition trajectory of the definite article. The volume makes valuable descriptive and theoretical contributions to Arabic linguistics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".