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Record W2760562865 · doi:10.1515/ling-2017-0019

The development of gender-specific patterns in the production of voiceless sibilant fricatives in Mandarin Chinese

2017· article· en· W2760562865 on OpenAlexaff
Fangfang Li

Bibliographic record

VenueLinguistics · 2017
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsMandarin ChineseVariation (astronomy)Articulation (sociology)PsychologySpeech productionLinguisticsRepetition (rhetorical device)Phonological developmentPhonology

Abstract

fetched live from OpenAlex

Abstract This article reports on the development of gender-specific speech patterns in Mandarin children’s production of voiceless sibilant fricatives. Ninety-four children aged from 2 to 5 (gender-balanced) participated in a word repetition task, producing a series of words beginning with fricatives. Their speech was digitally recorded and acoustically analyzed. The results indicate that gender-related differentiation in /s/ and /ɕ/ occurs around age 4 and becomes more robust at age 5. The differentiation occurs due to the more anterior articulation location that girls employ in their speech in comparison with boys. In addition, 10 adults (gender-balanced) were recorded to probe the origin of this gendered speech phenomenon. Unlike children, adults only show robust gender-related differences in /ɕ/. Results comparing the speech of adults and children suggest that gendered variation in /s/ is potentially the result of a chain shift initiated by gender-linked variation of /ɕ/. These results are discussed with respect to their ramifications for our understanding of the organization and acquisition of multiple components of children’s phonological capacity.

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 score0.004
Threshold uncertainty score0.008

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.092
GPT teacher head0.400
Teacher spread0.307 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

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