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Record W4234673661 · doi:10.1017/s0008413100004023

Vowel Production in Winnipeg

2006· article· en· W4234673661 on OpenAlexaffabout
Robert Hagiwara

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2006
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDiphthongVowelAmerican EnglishLinguisticsRaising (metalworking)GeographyHistoryMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract General properties of the Canadian English vowel space are derived from an experimental-acoustic study of vowel production underway in Winnipeg, Manitoba. Comparing the preliminary Winnipeg results with similar data from General American English confirms previously described generalizations for Canadian English: the merger of low-back vowels, the relative retraction of /æ/, and the relative advancement of /u/ and /Ʊ/. However, a similar comparison of the Winnipeg sample with comparable Southern California data disputes the accuracy of the claim that Canadian Shift (Clarke et al. 1995) is a feature of ‘general’ Canadian and Californian English. An acoustic analysis uncovers subtle phonetic distinctions that make possible a more precise characterization of Canadian Raising: rather than only adjusting the height of the nucleus, Winnipeg speakers produce a directional shift in both the nucleus and offglide of the diphthongs /aɪ, aƱ/; this process applies to all three diphthongs (including /oɪ/).

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 score0.071
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.287
Teacher spread0.270 · 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

Citations38
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueThe Canadian Journal of Linguistics / La revue canadienne de linguistiqueSame topicPhonetics and Phonology ResearchFrench-language works237,207