The Morphosyntax of Arabic Exceptives: A minimalist approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Arabic exceptive constructions involve an intricate interaction among word order, negation, and case assignment resulting from syntactic restrictions imposed on the argumental, appositional, and adjunctive functions of exceptive phrases. The morphosyntactic complexities in Arabic exceptives cast doubt on the adequacy of previous analyses that exceptive particles are prepositions, focal adverbs, or coordinating conjunctions, and they also lead the paper to argue for more principled accounts in which exceptive particles are analyzed as functional heads that project into an ExP ‘exceptive phrase’ which exists in two distinct configurations. The first includes an exceptive marker carrying [Acc-Case] ‘accusative case’ and [DS] ‘domain subtraction’ features when the ExP is an adjunct introduced by late Merge. The second includes a negative determiner which selects and c-commands the exceptive particle and deactivates/ suspends its [Acc-Case], consequently, the case feature of the ExP-complement is valued by percolation from D which combines with the exceptive marker to form a discontinuous focus particle with a [DR] ‘domain restriction’ feature.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it