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Record W2187674527

Spoken language development in infants who are deaf or hard of hearing: The role of maternal infant-directed speech

2012· article· en· W2187674527 on OpenAlexaboutno aff
Tonya R. Bergeson-Dana

Bibliographic record

VenueThe Volta Review · 2012
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySpoken languageStyle (visual arts)Context (archaeology)Language developmentHearing lossLinguisticsDevelopmental psychologyAudiologyHistoryMedicine
DOInot available

Abstract

fetched live from OpenAlex

How do children learn spoken language? Most children with typical hearing learn from infancy the sound of their mother's voice, a type of speech researchers call infantdirected speech. Mothers, fathers and most adults speak to infants in a sing-song manner, exaggerating the melody and rhythm of their speech. But what happens when this connection is broken, such as with a child who has hearing loss? This article will discuss the importance of infant-directed speech, and how infants with hearing loss respond to such talk in comparison to infants with typical hearing. How do children learn spoken language? In children who are developing typically, this feat is accomplished more or less naturally through acfive experiences with caregivers and the child's environment. Parents don't enroll infants and toddlers in spoken language classes; instead, they model, encourage, and stimulate their speech and language attempts by responding to the cries and coos of infants and holding simple conversafions with toddlers. In fact, caregivers across the world actually speak to their infants and young children using a special style of speech commonly known as babytalk or motherese. Researchers and scholars call this infant-directed speech. Mothers, fathers, and even strangers off the streets speak to infants in a sing-song marmer, exaggerating the melody and rhythm of their speech (e.g., Ferguson, 1964; Fernald, 1989). Caregivers are flexible with this speech style, adjusting the levels of exaggerafion according to the social context and their infant's age (e.g., Kitamura, Thanavishuth, Burnham, & Luksaneeyanawin, 2002; Stern, Spieker, Bamett, & MacKain, 1983). This speech style is now known to contribute in many ways not only to irifants' social-emofional development, but also to their speech, language, and cognifive development (e.g., Liu, Kuhl, & Tsao, 2003). Tonya R. Bergeson-Dana , Ph.D., is an associate professor, Philip F. Holton Investigator, and co-director of the Babytalk Research Laboratory in the Department ofOtolaryngology-Head & Neck Surgery at the Indiana University School of Medicine in Indianapolis, Ind. She received undergraduate degrees in music theory and psychology from Northwestern University, and an M.A. and Ph.D. in cognitive psychology from the University of Toronto. Bergeson is currently interested in three areas of research: the effects of hearing loss and subsequent amplification via hearing aids or cochlear implants on mothers' speech to infants with mild to profound hearing loss; the development of multimodal perception skills in infants who are deaf following amplification; and the effects of cochlear implantation and hearing experience on music perception and production in infants, children, and adults. She is particularly interested in the effiects of early experience on developing language and auditory -perception.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.316
Teacher spread0.282 · 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 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

Citations3
Published2012
Admission routes1
Has abstractyes

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