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Facilitating Emergent Literacy Skills in Children with Hearing Loss

2013· article· en· W2082825355 on OpenAlexaff
Barbra Zupan, Lynn Dempsey

Bibliographic record

VenueDeafness & Education International · 2013
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsBrock University
Fundersnot available
KeywordsActive listeningLiteracyHearing lossPsychologyIntervention (counseling)Spoken languageDevelopmental psychologyAudiologyPedagogyComputer scienceMedicineCommunication

Abstract

fetched live from OpenAlex

PurposeTo (a) familiarize readers with the components of emergent literacy and the impact hearing loss may have on the development of these skills; (b) demonstrate the importance of parent–professional collaboration and show how specific literacy-based activities can be integrated into existing daily routines and intervention programming; and (c) discuss how literacy-based activities can be modified to simultaneously target auditory and listening development.MethodThe paper begins with a narrative review of the current literature on the components of emergent literacy and development of this skill in children with hearing loss. Within this review, auditory-based strategies that may be used to facilitate emergent literacy in children with hearing loss who use spoken communication are described. Readers are directed to contact the authors for more detailed examples of activities and strategies.ConclusionsBuilding emergent literacy skills in children with hearing loss is contingent upon parents and professionals collaborating to develop specific literacy-based activities that can be incorporated into children's existing speech and language programmes and daily routines. These activities can be tailored to meet the individual needs of children with hearing loss and simultaneously address clinically relevant goals that maximize the development of auditory and listening skills.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.344
Teacher spread0.332 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2013
Admission routes1
Has abstractyes

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