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Record W2611978356 · doi:10.1097/aud.0000000000000449

Congenital Deafness Alters Sensory Weighting for Postural Control

2017· article· en· W2611978356 on OpenAlexafffund
Maxime Maheu, Andréanne Sharp, Sara Pagé, François Champoux

Bibliographic record

VenueEar and Hearing · 2017
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
FundersFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of Canada
KeywordsSomatosensory systemSensory systemAudiologyBalance (ability)PsychologyPhysical medicine and rehabilitationMedicineNeuroscience

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to examine sensory reweighting for postural control in congenitally deaf individuals. DESIGN: We studied 14 controls and 14 deaf age-matched individuals using a force platform and the modified clinical test of sensory interaction and balance protocol. Both groups performed the postural tasks without auditory cues (with hearing protectors for controls or without hearing devices for the deaf). RESULTS: The results confirmed poorer postural stability in the deaf. More importantly, the data suggest that congenitally deaf individuals rely more on somatosensory information for postural control than controls. CONCLUSIONS: This increased somatosensory reliance may increase postural sway when it comes to more challenging postural conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.491

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 studies0.0010.000
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 head0.074
GPT teacher head0.367
Teacher spread0.293 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations22
Published2017
Admission routes2
Has abstractyes

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