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Record W2064905083 · doi:10.1353/lan.2011.0076

Contrastive focus vs. discourse-new: Evidence from phonetic prominence in English

2011· article· en· W2064905083 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
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

VenueLanguage · 2011
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
FundersUniversity of Massachusetts AmherstMcGill UniversityNational Science Foundation
KeywordsLinguisticsFocus (optics)UtteranceStress (linguistics)Pitch accentContext (archaeology)SentencePsychologyContrast (vision)Contrastive analysisPhraseProsodyComputer scienceHistoryArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

The results of a production experiment show that English speakers distinguish elements under contrastive focus from elements that are merely new in the discourse. A novel paradigm eliciting both contrastively focused and merely discourse-new elements in the same sentence avoids differences in information structure and pitch accenting in the context surrounding the target elements that were confounds in previous studies on the topic. Elements under contrastive focus show greater duration, relative intensity, and F0 movement with respect to other elements in the utterance than elements that are new in the discourse but not under contrastive focus. We argue that the phonetic differences revealed here cannot be explained in terms of systematic manipulation of pitch-accent type or phrasal boundaries, and should instead be analyzed as differences in phrase-level phonological prominence for contrastively focused and merely discourse-new elements.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0070.001

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 head0.050
GPT teacher head0.350
Teacher spread0.300 · 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