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Record W2143052041 · doi:10.3109/14992020903148038

Evaluation of the NAL-NL1 and DSL v4.1 prescriptions for children: Preference in real world use

2010· article· en· W2143052041 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Audiology · 2010
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsWestern University
FundersOticon Fonden
KeywordsDigital subscriber lineActive listeningPreferenceAudiologyHearing lossPsychologySituational ethicsMedicineSocial psychologyComputer scienceTelecommunicationsCommunication

Abstract

fetched live from OpenAlex

This paper reports real world preferences of children in a double-blind, cross-over trial comparing NAL-NL1 and DSL v.4.1 prescriptions. Twenty-four children wore digital WDRC hearing aids at each site (Australia, Canada). Multi-memory hearing aids provided the NAL and DSL programs in each of two memories. Diaries were completed during two counterbalanced trials, providing overall preference, situational preference, and preference comments. Ratings were reliable, and situational preferences factored into quiet/low level situations versus noisy/reverberant/high level situations. Children at both sites used DSL v4.1 for hearing low level speech, or when they wanted to hear loudly and clearly. Children used NAL-NL1 when they wished to hear sounds at a lower level, or to reduce background noise. Children expressed strong preferences for having the choice of both programs. Canadian children were more likely to prefer DSL than were the Australian children. Factors such as listening environment and prior listening experience are discussed in interpreting these findings.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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)0.0000.000

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 head0.117
GPT teacher head0.370
Teacher spread0.253 · 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