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Issues in the Evaluation of Infants and Young Children Who Are Suspected of or Who Are Deaf-Blind

2006· article· en· W2327084102 on OpenAlex
Lenore Holte, Jeanne Glidden Prickett, Don C. Van Dyke, Pena Lubrica, Claudia L. Knutson, John F. Knutson, Susan E. Brennan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInfants & Young Children · 2006
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsStuart Olson (Canada)
Fundersnot available
KeywordsIntervention (counseling)EtiologyPsychologyDeaf blindDevelopmental psychologyIdentification (biology)BlindnessPediatricsMedicinePsychiatryAudiology

Abstract

fetched live from OpenAlex

Young children who are deaf-blind have unique communication, developmental, emotional, and educational needs that require special knowledge, expertise, technology, and assistance far beyond that required by other children with disabilities. The etiology of deaf-blindness is often multifactorial, with the most common causes being genetic and chromosomal syndromes, congenital infections, prenatal and postnatal environmental exposures, and postnatal trauma or diseases. Early identification is key, and begins with understanding the factors in medical and family histories that predispose a child to deaf-blindness. Assessment requires the skills of a team of clinicians. Coordinated early identification and intervention can ensure that the child who is deaf-blind receives the support needed to learn to communicate effectively with others and to develop conceptual skills necessary to support future learning. This article focuses on the evaluation of infants and young children who are suspected of being deaf-blind or who have already been determined to have this dual sensory impairment.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.320
Teacher spread0.285 · 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