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Record W2078415550 · doi:10.1121/1.3655049

The Canadian shift in Ontario: Transmission and diffusion

2011· article· en· W2078415550 on OpenAlexaboutno aff
Rebecca Roeder

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsSound changeVowelDiffusionSpace (punctuation)Dispersion (optics)Interpretation (philosophy)Movement (music)AcousticsComputer scienceFront (military)Diffusion theoryLinguisticsSpeech recognitionPhysicsMeteorologyPhilosophy

Abstract

fetched live from OpenAlex

The Canadian Shift, a sound change in progress that is affecting the front lax vowels of Canadian English, was initially characterized as a chain shift. However, recent studies have observed a different pattern of movement over apparent time, requiring an alternative theoretical model to explain the change. Relying on instrumental analysis of data from nearly 100 speakers across five Ontario cities and towns, this paper provides additional observations of parallel shifting across apparent time in these vowels and adopts vowel dispersion theory as a theoretical framework for positing phonetic movement toward a system that is balanced both phonetically and phonologically. This phonetically-based model has primarily been used to explain the relationship between phonological inventories and acoustic space, but the generalizations and principles that are emerging through such research are also useful in the interpretation of observations regarding sound change in progress. Findings also indicate that the geographical progression of the shift corresponds with a cascade or gravity model of diffusion.

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)0.001
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.416

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0060.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.022
GPT teacher head0.260
Teacher spread0.238 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueThe Journal of the Acoustical Society of AmericaSame topicLinguistic Variation and MorphologyFrench-language works237,207