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Record W2990286860

CANADIAN PRAIRIE DIALECTS: AN EXPLORATION OF ALBERTA AND SASKATCHEWAN VOWELS

2019· article· en· W2990286860 on OpenAlexaffvenueabout
Bryce Jacob Wittrock, Benjamin V. Tucker

Bibliographic record

VenueCanadian acoustics · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFormantVowelContext (archaeology)Variation (astronomy)Word listGeographyLinguisticsHistoryComputer scienceSpeech recognitionPhysicsArchaeologyAstrophysics
DOInot available

Abstract

fetched live from OpenAlex

Previous research has documented the English spoken in Western Canada as generally homogenous with minor variation along a spectrum from British Columbia to Northern/Western Ontario (Labov et al., 2005). This description is investigated on a narrower geographic scale, building a corpus of Southern Alberta and Saskatchewan English (SASE) and comparing the acoustic properties of SASE vowels to those of Edmonton English (EE) as observed in Thomson 2007. The corpus consists of 24 informal interviews as well as word list and passage readings. First and second formants were extracted from the word list (careful speech) context and measurable acoustic differences were found between this data and the EE description. Both speaker groups were found to have similar distributions, however /?/ and /?/ as well as /?/ and /?/ are closer to each other in SASE than in EE, suggesting possible mergers. SASE fronts /u/ and /?/, aligning with shifts noted in the western and southern United States (Clopper, 2005) but also fronts /?/, distancing itself from the Northern Cities Shift which instead describes a backing of /?/ (Labov et al., 2005). We also statistically explore differences in the vowel space using vowel overlap methods (Hay et al., 2006).

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.273
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2019
Admission routes3
Has abstractyes

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