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Record W3109451365 · doi:10.1215/00031283-8221002

Diva Diction

2020· article· en· W3109451365 on OpenAlexaff
Charles Boberg

Bibliographic record

VenueAmerican Speech · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsMcGill University
Fundersnot available
KeywordsVowelMid vowelPronunciationPeriod (music)DictionLinguisticsAmerican EnglishHistoryFormantGeographyArtPoetryPhilosophy

Abstract

fetched live from OpenAlex

As a follow-up to the author’s 2018 analysis of New York City English in film, this article turns its attention to the whole country over the same 80-year period of 1930–2010, using acoustic phonetic, quantitative, and statistical analysis to identify the most important changes in the pronunciation of North American English by 40 European American leading actresses in their best-known films. Focusing mostly on vowel production, the analysis reveals a gradual shift from East Coast patterns rooted in the speech of New York City to West Coast patterns rooted in the speech of Los Angeles. Changes include a decline in /r/ vocalization, which is restricted almost entirely to the period before the mid-1960s; a decline in the low back distinction between /o/ and /oh/ (lot and thought); a new distinction between /æ/ (trap) and its allophone before nasal consonants (e.g., ham or hand); shifts of /æ/ and /oh/ to a lower, more central position in the vowel space; and fronting of the back upgliding vowel /uw/ (goose). These and other patterns correspond closely to those identified in the speech of ordinary people, revealing an intriguing parallel between public speech in the mass media and private speech in local communities.

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: none
Teacher disagreement score0.906
Threshold uncertainty score0.762

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 head0.031
GPT teacher head0.323
Teacher spread0.292 · 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

Citations21
Published2020
Admission routes1
Has abstractyes

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