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Record W2896162469 · doi:10.1111/stul.12104

Downstepped High Tone in Persian Spontaneous Speech Intonation

2018· article· en· W2896162469 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStudia Linguistica · 2018
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsCentennial College
Fundersnot available
KeywordsIntonation (linguistics)InterrogativeTone (literature)LinguisticsPsychologyPersianSyllableConversationIndependence (probability theory)GrammarCommunicationMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract This corpus‐based research examines a downstepped boundary tone in Persian spontaneous declaratives and yes/no questions ( YNQ s), by looking at 318 minutes of spontaneous phone conversations of 21 female and 21 male speakers in three age groups, 20s, 30s, and 40s. The downstepped YNQ s lack the final rise typically found in read utterances, which is associated with the non‐genuineness of the interrogative and a lowered degree of the hearer's commitment to provide a reply. The downstep in declaratives, accompanied by a following pause, creates functions such as topicalization and facilitates the cognitive pre‐planning of speech. There is no effect of sex and age on the production of this tone. The specific functions of this tone and its independence of adjacent tones argue for its inclusion in the grammar of Persian intonation. Additionally, this research is in itself a first‐time investigation of the intonation of Persian spontaneous YNQ s and shows that the majority of them share the same intonation pattern with lab produced YNQ s.

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)0.001
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 score0.763
Threshold uncertainty score0.999

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)0.0030.002

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 head0.024
GPT teacher head0.378
Teacher spread0.354 · 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