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Peer Interactions of Preschool Children With and Without Hearing Loss

2010· article· en· W1985486115 on OpenAlexaff
Joanne DeLuzio, Luigi Girolametto

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2010
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAudiologyHearing lossPsychologyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

PURPOSE: Little is known about the social interaction skills of children with severe to profound hearing loss (SPHL) in terms of how they manage conversational exchanges with peers. This study compared the initiation and response skills of children with SPHL with those of children with typical hearing during group play in integrated preschool programs. METHOD: Two groups of 12 children were matched on a number of variables and assessed for intelligence, language, speech, and social development. All initiations, responses, and resulting interactions during 20 min of group play were transcribed and coded. Outcome measures included number and type of initiation strategies, number of responses, and length of interactions. RESULTS: Despite poorer speech, language, and social development, there were no significant differences in initiation and response skills measured between children with SPHL and their matched peers. The small sample size may have made differences difficult to detect; however, playmates initiated interactions less often with the children with SPHL and ignored their initiations more often than those of other children. CONCLUSIONS: Preschool children with SPHL were excluded from interactions by their playmates. Having age-appropriate language skills did not ensure successful peer interactions. Inclusive preschool programs may consider offering classroom-wide social skills training to enhance interaction opportunities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.061
GPT teacher head0.434
Teacher spread0.373 · 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

Citations60
Published2010
Admission routes1
Has abstractyes

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