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Speech Development in Prelingually Deaf Children with Cochlear Implants

2008· article· en· W2093173948 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.

Bibliographic record

VenueLanguage and Linguistics Compass · 2008
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsInstitut universitaire en santé mentale de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsCochlear implantationAudiologySpeech productionSpeech perceptionCochlear implantPsychologyProfound hearing lossPerceptionLanguage developmentSensorineural hearing lossHearing lossMedicineDevelopmental psychologySpeech recognitionComputer science

Abstract

fetched live from OpenAlex

Abstract Since the early 1980s, cochlear implantation has been an approved method for treating profound bilateral sensorineural hearing loss in children. It is widely believed that the use of this device would significantly benefit young deaf children's development of speech and ability to participate in aural–oral communication. However, whereas significant improvement in speech reception and perception skills following implantation has been widely documented, cochlear prostheses as speech production aids have been studied less extensively. The main objective of this article is to review the work conducted on speech produced by prelingually deaf children following cochlear implantation. Cochlear implants and their functioning are described, as are the cognitive, social and clinical factors known to play a role in successful implantation of children. It is concluded that cochlear implantation may speed up speech production to near normal rates, but initial delays are not totally reversible. In addition, the variability in all performance measures is high, and the reasons for good and poor outcomes are only partly understood.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.219
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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