The Influence of Elision on the Original Syllabic Structure in English and Safwani Arabic: A Contextual Analysis
Bibliographic record
Abstract
Elision, as being a distinguishing mark among phonological processes, plays a vital role in patterning and mapping syllables of the language in a way that it can “distort” particular syllabic forms and templates. It represents deterioration, modification and to some extent radical changes in the syllabic structure of the original words even though it is usually a result of rapid colloquial speech. This study is a phonological work to detect the influence of sound deletion on syllabic templates and patterns of English and Safwani Arabic. It is an attempt to work out an analysis of the possible contexts where individual segments and syllables exhibit deletion. The analysis of all possible contexts where segments and syllables are lost in these varieties is illustrated by detailed tables within the paper. The tables are designed in a way that both original and reduced word or phrase forms are given, the context of sound elision is provided and then both original and resulting syllabic patterns are demonstrated.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 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".