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Record W4410792397 · doi:10.1093/jdsade/enaf037

School-aged children with mild bilateral and unilateral hearing loss: parents’ experiences

2025· article· en· W4410792397 on OpenAlexafffund
Dorie Noll, Celine Fawagreh, Elizabeth M. Fitzpatrick

Bibliographic record

VenueThe Journal of Deaf Studies and Deaf Education · 2025
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsChild and Family Research InstituteUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsHearing lossPsychologyDevelopmental psychologyPerceptionAudiologyMedicine

Abstract

fetched live from OpenAlex

Approximately 50% of children first identified with hearing loss present with mild bilateral and unilateral hearing loss (MUHL), but little is known about their functioning in the school years. The purpose of this study was to examine caregivers' perceptions of their child's functioning and needs at school age. This qualitative inquiry was a follow-up to interviews conducted following the diagnosis of MUHL. Seventeen of the original 20 caregivers participated in this study. The median age of the children at the time of the interviews was 1.0 (8.7-10.7) years. Results represent parents' experiences in four key areas: (a) the challenge of transition, (b) the impact of hearing loss on functional outcomes, (c) the challenges of MUHL, including concerns about "falling through the cracks" and low expectations, and (d) the importance of advocacy. Parents indicated that while their child may not need as much direct support as children with more severe hearing loss, as parents, they still need support and guidance to navigate the educational system. These findings provide valuable insight into parents' perspectives, contribute to our understanding of the impact of MUHL on educational outcomes and highlight the need to ensure that these children are not overlooked.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.323
Teacher spread0.294 · 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 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
Published2025
Admission routes2
Has abstractyes

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