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Record W4389697125 · doi:10.16995/labphon.9316

Phonetic and phonological aspects of prosodic focus marking in Canadian English

2023· article· en· W4389697125 on OpenAlexaffabout
Jiseung Kim, Anja Arnhold

Bibliographic record

VenueLaboratory Phonology Journal of the Association for Laboratory Phonology · 2023
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFocus (optics)LinguisticsPitch accentTransitive relationStress (linguistics)Style (visual arts)PsychologySubject (documents)MathematicsComputer scienceProsodyPhysicsArtLiteraturePhilosophyCombinatorics

Abstract

fetched live from OpenAlex

Previous studies reported mixed findings regarding the details of the acoustic correlates of focus, as well as the relationship between information structure and pitch accent types in English. Moreover, previous studies showed that different varieties of English signal information structure differently.Therefore, we hypothesized that the way focus is expressed in terms of acoustic correlates and/or pitch accents in Canadian English would differ from Mainstream American English (MAE). Thirty-eight native speakers of Canadian English produced 24 short transitive sentences in different focus conditions: broad focus and narrow focus in different locations (Subject, Verb, Object). The speakers of Canadian English in the current study manifested some, but not all of the effects of focus that have been reported in previous research on MAE and other languages. Specifically, focus induced lengthening of focused constituents but not enhancement of intensity or f0. Instead, focus-adjacent constituents were weakened in terms of duration, intensity and f0.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
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 head0.015
GPT teacher head0.287
Teacher spread0.272 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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