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Record W4205439103 · doi:10.31219/osf.io/emrgv

The acquisition of English stress by Québec Francophones

2021· preprint· en· W4205439103 on OpenAlexaboutno aff
Guilherme D. Garcia, Natália Brambatti Guzzo

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsStress (linguistics)Focus (optics)Second-language acquisitionProduction (economics)Duration (music)LinguisticsRhythmPsychologyComputer scienceAcousticsPhysics

Abstract

fetched live from OpenAlex

In this chapter, we report the results of two production experiments, one in Canadian French (CF) and one in English, aimed at examining how advanced CF L2ers produce English stress. In other words, our focus is not on language development (i.e. whether learners actually acquire stress in English), but rather on ultimate attainment in L2 acquisition (i.e. how native speakers and advanced learners compare vis-à-vis stress production). In order to evaluate whether L2ers’ rhythmic patterns mirror native English patterns, we compare L2ers’ production with control data, focusing on three possible acoustic correlates of prominence: duration, pitch (F0) and intensity. To verify whether L2ers transfer acoustic cues or rhythmic patterns from their first language (L1) into the L2, we also analyse how prominence is produced by L2ers in their L1.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.017
GPT teacher head0.316
Teacher spread0.299 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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