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Record W2907892971 · doi:10.5539/ijel.v9n1p229

Sound Shift and Metathesis in Three Pre-School Nasiriya Iraqi Arabic Children: A Case Study

2018· article· en· W2907892971 on OpenAlexvenueno aff
Mohammed Jasim Betti, Zainab Kadim Igaab

Bibliographic record

VenueInternational Journal of English Linguistics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic, Cultural, and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNasalizationArabicLinguisticsPhonological rulePsychologyAssimilation (phonology)Speech soundSound changePhonologyHistorySpeech recognitionComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

This study is a case study which describes the speech of three pre-school Nasiriya Iraqi Arabic children. The data of this study are collected through tape-recording them. Through the analysis, it is concluded that the phonetic processes which exist in the informants’ speech include assimilation, elision, gemination, nasalization and tafxiim and the main ones are sound shift and metathesis. It has been noted that the study informants pronounce some consonants which are difficult to be pronounced by other children living in the same city; those consonants are either regularly shifted to in the production of other consonants or as part of ordinary words containing such sounds. Sometimes, more than one process is available in the production of some words. The consonantal changes existing in the informants’ speech are many compared with the vocalic ones which are very few.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0070.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.334
Teacher spread0.308 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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Same venueInternational Journal of English LinguisticsSame topicLinguistic, Cultural, and Literary StudiesFrench-language works237,207