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Record W2479105335 · doi:10.1055/s-0036-1584406

Relevance of the International Classification of Functioning, Health and Disability: Children & Youth Version in Early Hearing Detection and Intervention Programs

2016· review· en· W2479105335 on OpenAlexaff
Sheila Moodie, Marlene Bagatto

Bibliographic record

VenueSeminars in Hearing · 2016
Typereview
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsWestern University
Fundersnot available
KeywordsInternational Classification of Functioning, Disability and HealthRelevance (law)Intervention (counseling)Hearing lossPsychologyQuality of life (healthcare)Foundation (evidence)Developmental psychologyMedical educationApplied psychologyMedicinePsychiatryAudiologyPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Early hearing detection and intervention (EHDI) programs have been guided by principles from the Joint Committee on Infant Hearing and an international consensus of best practice principles for family-centered early intervention. Both resources provide a solid foundation from which to design, implement, and sustain a high-quality, family-centered EHDI program. As a result, infants born with permanent hearing loss and their families will have the support they need to develop communication skills. These families also will benefit from programs that align with the framework offered by the World Health Organization's International Classification of Functioning, Disability and Health: Children & Youth Version (ICF-CY). Within this framework, health and functioning is defined and measured by describing the consequences of the health condition (i.e., hearing loss) in terms of body function, structures, activity, and participation as well as social aspects of the child. This article describes the relevance of the ICF-CY for EHDI programs and offers a modified approach by including aspects of quality of life and human development across time.

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)0.006
metaresearch head score (Gemma)0.011
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: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.079
GPT teacher head0.342
Teacher spread0.263 · 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
GenreReview

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

Citations9
Published2016
Admission routes1
Has abstractyes

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