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Record W649464194

An Acoustic Analysis of Vowel Variation in New World English

2001· book· en· W649464194 on OpenAlexaboutno aff
Erik R. Thomas

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsVowelVariation (astronomy)LinguisticsVariety (cybernetics)American EnglishMid vowelHistoryVarieties of EnglishSound changeComputer scienceArtificial intelligenceFormantPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

An Acoustic Analysis of Vowel Variation in New World English examines acoustical variations in vowel configurations in a wide variety of dialects of English found in the Western Hemisphere. While the work opens with an introduction on the methods and aims of the study, the following chapter immediately moves to a detailed discussion of distinctive vowel sounds called phonemes, characterizing each variant of sound listed within the cited reference literature. The remaining chapters provide explanatory descriptions of the variants of each dialect, reviewing past research specific to that dialect. While the United States English, Canadian English, and Caribbean varieties are featured in various chapters throughout the work, individual chapters are devoted to African-American, Mexican-American, and Native American English, emphasizing not only ethnic variation but delving into the historical development of each dialect. This monograph is an essential reference on vowel variation for all sociolinguists, phoneticians, phonologists, creolists, and historical linguists.

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)0.000
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.317
Teacher spread0.294 · 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

Citations305
Published2001
Admission routes1
Has abstractyes

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