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Record W2306349003

Phonetic vs. Phonological Considerations in Inter-Generational Vowel Change in Toronto Heritage Cantonese

2016· article· en· W2306349003 on OpenAlexaboutno aff
Holman Tse

Bibliographic record

VenueD-Scholarship@Pitt (University of Pittsburgh) · 2016
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsVowelLinguisticsMandarin ChineseHeritage languageContrast (vision)Mid vowelPhonologyPsychologyVowel lengthPhoneticsVowel harmonyAssimilation (phonology)Neuroscience of multilingualismFormantComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Chang et al. (2011) have shown that phonological considerations may override phonetic similarity in influencing the phonetic production of /u/ and /y/ among heritage Mandarin speakers. This study addresses whether or not this generalization holds for another heritage language with a similar contrast corresponding to one vowel category, /u/, in the dominant language (English) by comparing vowel production among GEN 1 (L1 Cantonese) and GEN 2 (English-Cantonese early bilinguals) speakers. The mean F1 and F2 of 30 vowel tokens of /u/ and /y/ from each of 17 speakers from the HerLD (Heritage Language Documentation) Corpus (Nagy 2011) were measured (N=510). Results show maintenance of the Cantonese /y/ ~ /u/ contrast and lack of assimilation of Cantonese /u/ to the relatively high F2 of Toronto English /u/. These results support Chang et al’s (2011) claim that early bilingualism favors maintenance of cross-linguistic and language internal phonological distinctions in both languages.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.070
GPT teacher head0.326
Teacher spread0.256 · 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 teacher head, not a consensus.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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