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Record W7016008141

Variation and change in Toronto heritage Cantonese: An analysis of two monophthongs across two generations

2017· article· en· W7016008141 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueSOPHIA (St. Catherine University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaDysgeusiaProteogenomicsTSG101Fusible alloy
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the first sociophonetic study of Cantonese vowels using sociolinguistic interview data from the Heritage Language Variation and Change in Toronto Corpus. It focuses on four allophones [iː], [ɪk/ɪŋ], [uː], and [ʊk/ʊŋ] of two contrastive vowels /iː/ and /uː/ across two generations of speakers. The F1 and F2 of 30 vowel tokens were analyzed for these four allophones from each of 20 speakers (N = 600 vowel tokens). Results show inter-generational maintenance of allophonic conditioning for /iː/ and /uː/ as well as an interaction between generation and sex such that second-generation female speakers have the most retracted variants of [ɪk/ɪŋ] and the most fronted variants of [iː]. This paper will discuss three possible explanations based on internal motivation, phonetic assimilation, and phonological influence. This will illustrate the importance of multiple comparisons (including inter-generational, cross-linguistic, and cross-community) in the relatively new field of heritage language phonology research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.697
Threshold uncertainty score0.518

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.041
GPT teacher head0.356
Teacher spread0.315 · 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