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Record W2286064770

Uptalk - Towards a quantitative analysis

2010· article· en· W2286064770 on OpenAlexaff
Martina Di Gioacchino, Lorena Crook Jessop

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsIntonation (linguistics)PhraseConversationSet (abstract data type)LinguisticsRelation (database)ConnotationPoint (geometry)Categorical variablePerceptionComputer scienceRange (aeronautics)Natural language processingPsychologyCommunicationMathematicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

The use of high-rise terminals, or uptalk, continues to be a point of contention in the study of intonation. Researchers continually produce conflicting descriptions of it in an effort to define it, including conflicting explanations of its connotation or significance in conversation. These difficulties suggest that ToBI, the most frequently used system of annotation for intonation, cannot adequately describe the contour. The definitions of uptalk produced using ToBI do not allow it to be distinguished from other contours, namely question intonation. This study tries to define the contour, not by describing it as ToBI does, but by measuring the pitch excursions which speakers produce in these contours in relation to the overall pitch range of the phrase in which it was produced. The results of the study show that the excursions produced in uptalk fall in the mid range of rises, steeper than those of other declarative statements, but not as steep as those produced in question intonation. This provides a potential set of criteria which can be used to precisely distinguish uptalk contours. The ability to identify contours based on the height of the pitch excursion exhibited also points to the possibility of the use of categorical perception of intonation contours by native speakers of English.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0420.002

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 head0.056
GPT teacher head0.438
Teacher spread0.383 · 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; both teacher heads agree on what is shown here.

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

Citations29
Published2010
Admission routes1
Has abstractyes

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