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Record W2337156663 · doi:10.1515/psicl-2016-0004

Acoustic Evidence of New Sibilants in the Pronunciation of Young Polish Women

2016· article· en· W2337156663 on OpenAlexaff
Bartļomiej Czaplicki, Marzena Żygis, Daniel Pape, Luís M. T. Jesus

Bibliographic record

VenuePoznań Studies in Contemporary Linguistics · 2016
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFormantPronunciationLinguisticsContrast (vision)PsychologySpeech recognitionAcousticsComputer sciencePhysicsPhilosophyArtificial intelligenceVowel

Abstract

fetched live from OpenAlex

Abstract We present the results of an acoustic study showing that the Polish sibilant system is undergoing changes in the speech of young university-educated women. The results based on the acoustic analysis of 16 speakers’ pronunciation, reveal that the new variants of alveolo-palatals are characterised by spectral peaks at higher frequencies and higher centre of gravity values than their Standard Polish counterparts. In addition, spectral moments, spectral slopes and the formants of preceding vowels differentiate the new variants from Standard Polish alveolo-palatals. We provide the rationale for the development of the new variants by referring to (i) a functional approach involving contrast optimisation in the sibilant system, (ii) a sociolinguistic approach that makes use of a sound-symbolic association between energy concentration in higher frequency regions and smallness and (iii) a speech disorder.

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)0.002
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.013
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)0.0000.000

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 head0.327
GPT teacher head0.473
Teacher spread0.145 · 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; a candidate call from one teacher head, not a consensus.

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

Citations9
Published2016
Admission routes1
Has abstractyes

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