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Record W2563426228 · doi:10.1524/stuf.2012.0011

Typology of rhythm reconsidered: an SLA perspective

2012· article· en· W2563426228 on OpenAlexaff
Marie Ploquin

Bibliographic record

VenueLanguage Typology and Universals · 2012
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsTypologyLinguistic typologyLinguisticsPerspective (graphical)RhythmSyllablePhonotacticsDuration (music)Stress (linguistics)PerceptionCognitive psychologyPsychologyComputer sciencePhonologyArtificial intelligenceHistory

Abstract

fetched live from OpenAlex

Abstract This paper offers an analysis of various typologies of speech rhythm with a Second Language Acquisition (SLA) perspective. The notion of isochrony and the enduring stress- and syllable-time theory are shown to be perception-, rather than production-, related. Duration-centered statistical approaches are found to measure phonotactics rather than establish a functional typology. It is further argued that no existing rhythmic typology can be recognized as efficiently organizing data to enable grouping and comparison of languages, a highly coveted tool in SLA. The outline of an SLA relevant classification, taking into account phonological elements and phonetic processes, is sketched.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.009
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.382
Teacher spread0.348 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2012
Admission routes1
Has abstractyes

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