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Record W4409526881 · doi:10.5430/wjel.v15n5p301

The Production of Laterals by English-Arabic Bilingual Children

2025· article· en· W4409526881 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Linguistics, Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArabicProduction (economics)Computer scienceLinguisticsNatural language processingPhilosophyEconomics

Abstract

fetched live from OpenAlex

This study aims to measure the accentual feature of the acoustic properties of English and Arabic alveolar laterals produced by Arabic-English bilinguals. More precisely, it examines whether bilinguals develop or maintain separate spectral and temporal properties for the sounds of their community when these converge with the phonetic properties of their first language. Further, it investigates the effect of syllable position in the acoustic production of Arabic and English laterals. Finally, it explores if there is any phonetic convergence of the laterals in each language due to the elicitation of a bilingual language mode. The acoustic analysis of bilinguals' realizations of /l/ consists of the F1, F2, F2-F1, and F3-F2 differences values expressed in Hertz and Bark. These values are extracted from the midpoint of the laterals and realized in three contexts: word-initial, word-medial, and word-final positions. The results reveal that bilinguals exhibit language-specific phonetic distribution and relatively acoustic accommodation in realizing laterals when code-switching tokens.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.226
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it