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Record W2541071607 · doi:10.1075/cilt.319.13zer

EMA, endoscopic, ultrasound and acoustic study of two secondary articulations in Moroccan Arabic

2011· book-chapter· en· W2541071607 on OpenAlexaff
Chakir Zeroual, John H. Esling, Philip Hoole

Bibliographic record

VenueAmsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory · 2011
Typebook-chapter
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsArabicUltrasoundAcousticsGeographyMedicineLinguisticsRadiologyPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Based on three physiological experiments (electromagnetic articulography, endoscopy and ultrasound) carried out separately with two speakers, but with one subject in common, we demonstrate that the back articulation of the Moroccan Arabic emphatic stop consonants can be considered as pharyngealised, i.e. produced with a constriction in the oro-pharyngeal cavity. The emphatics /ṭ ḍ/ 1 are not velarised, and /ḍ/ has a slight degree of labialisation. MA geminate labials, generally considered as ‘labialised’, are clearly velarised in accord with phonological analyses by Heath (1987) and Elmedlaoui (1995), and not emphatic or pharyngealised as was predicted by Mitchell (1993). These labials are labial-velarised consonants since they are also slightly more labialised compared to their singleton cognates. We confirm that the labialisation observed in word initial clusters /#C 1 C 2 /, where /C 1 / or /C 2 / is a velar or uvular consonant, is associated with /C1/ even when this latter is coronal. Labialised dorsals (velars and uvulars: /k w , ɡ w , q w , χ w , ʁ w /) are not only labialised, but also more retracted than their non-labialised counterparts.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.080
GPT teacher head0.389
Teacher spread0.310 · 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 designObservational
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

Citations12
Published2011
Admission routes1
Has abstractyes

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Same venueAmsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theorySame topicPhonetics and Phonology ResearchFrench-language works237,207