MétaCan
Menu
Back to cohort
Record W2110826171 · doi:10.1017/s1360674313000051

New contrast acquisition: methodological issues and theoretical implications

2013· article· en· W2110826171 on OpenAlex
Jennifer Nycz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language and Linguistics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsVowelLinguisticsContrast (vision)Realization (probability)Mid vowelVowel lengthPsychologyDivergence (linguistics)Word (group theory)Computer scienceMathematicsFormantArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

This article presents data on the acquisition of the low back vowel contrast by native speakers of Canadian English who have moved as adults to the New York City region, examining how these speakers who natively possess a single low back vowel category have acquired the low back vowel distinction of the new ambient dialect. The speakers show remarkable first dialect stability with respect to their low back vowel system, even after many years of new dialect exposure: in minimal pair contexts, nearly all of the speakers continue to produce and perceive a single vowel category. However, in word list and conversational contexts, the majority of speakers exhibit a small but significant phonetic difference between words like cot and caught , reflecting the separation of these word classes in the new dialect to which they are exposed; moreover, the realization of these words shows frequency effects consistent with a lexically gradual divergence of the two vowels. These findings are discussed in terms of their implications for theories of phonological representation and change, as well as their methodological implications for the study of mergers- and splits-in-progress.

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.

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)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.022
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)0.0020.000

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 head0.030
GPT teacher head0.356
Teacher spread0.326 · 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