Bibliographic record
Abstract
This paper aims to examine types and patterns of the broken plural in Arabic and the impact of phonological rules and ascending and descending diphthongs on the formation of the broken plural in Arabic. It also highlights particular phonological processes such as assimilation, dissimilation, and ascending and descending diphthongs so that it appears that these diphthongs have been phonetically changed by virtue of sound elision, sometimes accomplished by compensation (sound replacement) and sometimes without compensation; on the other hand, the diphthong may remain unchanged since it maintains the clarity and easiness of the linguistic form. Based on what I have so far studied in Arabic grammar, ancient Arabic grammarians explained these patterns alongside the linguistic changes that occur whilst contemporary Arabic scholars used creative and innovative ways to explain them more precisely and accurately. It could be argued that phonetic transcription has played a key role in that. Therefore, this paper is an academic endeavor to study the linguistic aspects of the broken plural in Arabic, with a particular focus on their syntax, phonetics and phonology.
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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 | 0.006 | 0.443 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".