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Record W4296127928 · doi:10.1017/s0952675722000069

An acoustic study of Tetsót’ıné stress: Iambic stress in a quantity-sensitive tone language

2022· article· en· W4296127928 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhonology · 2022
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsIambic pentameterStress (linguistics)LinguisticsVowelDuration (music)MathematicsTone (literature)PsychologyAudiologyPhysicsAcousticsMedicinePhilosophy

Abstract

fetched live from OpenAlex

Abstract This paper presents both distributional and acoustic phonetic evidence for iambic stress in Tetsǫ́t'ıné (ISO: CHP), a Dene (Athapaskan) language with contrastive vowel length and four contrastive tones. In our acoustic study, we find that the primary correlate of stress in Tetsǫ́t'ıné is duration, whereas intensity plays a secondary but statistically significant role. There was no statistically significant effect on F0 in our results. We discuss our results in relation to several proposals regarding the typology of stress systems. Based on the Functional Load Hypothesis (Berinstein 1979) and Dispersion Theory (Flemming 1995, 2001), we find that our results are to some extent unexpected. We suggest that our results are most consistent with the Iambic–Trochaic Law (Hayes 1995), which predicts that iambic stress systems prefer to use duration as their primary stress correlate.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.398
Teacher spread0.367 · 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