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Phonological Processes in Children’s Productions

2016· book· en· W2564495624 on OpenAlexafffund
Heather Goad

Bibliographic record

VenueOxford University Press eBooks · 2016
Typebook
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et CultureUniversity College London
KeywordsRule-based machine translationPhonologyLinguisticsGrammarPerspective (graphical)Phonological rulePsychologyPerceptionComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This chapter examines ways in which children’s phonological processes converge with and diverge from those attested in adult grammars. Processes in segmental and prosodic phonology are examined. The starting point is the formal literature, where children’s grammars are typically viewed as systems that respect the same principles and constraints as adult grammars. As children are shown to display unexpected patterns in development from the perspective of adult language typology, a central question that is addressed is whether children’s systems differ in fundamental ways from adult grammars or whether unexpected patterns in production can be explained by examining how perceptual and motor development interface with the acquisition of an adult-like phonological grammar.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.003
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.269
Teacher spread0.235 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes2
Has abstractyes

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