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Record W4412401789 · doi:10.46827/ejse.v10i8.5759

ANALYSIS OF GESTURE PRODUCTION IN PORTUGUESE INFANTS WITH AND WITHOUT HEARING IMPAIRMENT

2025· article· en· W4412401789 on OpenAlexfundno aff
Etelvina Lima, Anabela Cruz‐Santos

Bibliographic record

VenueEuropean Journal of Special Education Research · 2025
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaUniversidade do MinhoInternational Council for Canadian Studies
KeywordsGestureAudiologyPortugueseProduction (economics)Speech productionPsychologyMedicineSpeech recognitionComputer scienceLinguisticsArtificial intelligencePhilosophyEconomics

Abstract

fetched live from OpenAlex

The aim of this study was to identify and analyze the characteristics of communicative gestures produced by Portuguese infants with and without hearing impairment aged between 8 and 18 months. The participants in this study were 37 infants with normal hearing and 4 infants with hearing impairment. The participants were recruited from kindergartens in the central and southern regions of the country and from a hospital in the central region of Portugal. The results of this study show that as young children grow, they become increasingly confident about the effect of their communicative gestures on adults, and the characteristics of the gestures become more refined or complex; although young children with hearing impairment use communicative gestures in a similar way to their peers, the characteristics of their gesture production differ. The present study emphasizes the importance of characterizing children's gestures in the prelinguistic period, as it allows a better understanding of how the communication process develops and how gestures are used. It is expected that the differences found between different age groups and between children with and without hearing impairment will help Portuguese professionals in more efficient clinical and educational assessment and intervention processes.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0801/a.php" alt="Hit counter" /></p>

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.153
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
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 head0.063
GPT teacher head0.428
Teacher spread0.365 · 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.

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
Published2025
Admission routes1
Has abstractyes

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