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Record W2218580953

The acquisition of stress in Québec French: a case study

2009· dissertation· en· W2218580953 on OpenAlexaboutno aff
Ashleigh Noel

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2009
Typedissertation
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsStress (linguistics)Duration (music)PsychologyLinguisticsIdentification (biology)Variation (astronomy)Measure (data warehouse)Cognitive psychologyComputer scienceAcousticsPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

In this thesis, I investigate the development of stress in EL's speech. EL is a first language learner of Quebec French. I examine this young child's productions of the three typologically most prominent correlates of stress (fundamental frequency, intensity, and duration) from the age of 1;01.7 to 2;04.17. Building on this acoustic investigation, I propose three formal stages in the development of her stress system. -- My proposal is based on systematic comparisons between final and penultimate syllables in declarative utterances, expressed in terms of calculated ratios which offer a measure of relative prominence for each of the three cues under investigation. I illustrate that the child uses duration as her main cue to mark stress. This mirrors the target stress system. However, at early ages, the child also appears to use fundamental frequency to mark stress, in a way that departs from the target system. Observations such as this are one of the considerations that compel me to develop stages of stress acquisition in the formal proposal. I also consider the variation in the data, which takes the form of relatively high positive and negative ratios. I examine these values and account for them through identification of various influences on the child's speech. Finally, I extend my acoustic study to incorporate one further influence, that of phonological compensatory lengthening, which also affects duration ratios.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.003
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 head0.035
GPT teacher head0.325
Teacher spread0.290 · 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 designQualitative
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
Published2009
Admission routes1
Has abstractyes

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