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Record W1976172905 · doi:10.1177/0142723714562864

How HANDy are baby signs? A systematic review of the impact of gestural communication on typically developing, hearing infants under the age of 36 months

2014· review· en· W1976172905 on OpenAlexaff
Elizabeth M. Fitzpatrick, Jonelle Thibert, Viviane Grandpierre, J. Cyne Johnston

Bibliographic record

VenueFirst Language · 2014
Typereview
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of CalgaryAlberta Health ServicesChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsGestureSign languageSign (mathematics)Typically developingSystematic reviewLanguage developmentPsychologyDevelopmental psychologyAudiologyMedicineMEDLINEComputer scienceLinguisticsBiology

Abstract

fetched live from OpenAlex

Baby sign language is advocated to improve children’s communication development. However, the evidence to support the advantages of baby sign has been inconclusive. A systematic review was undertaken to summarize and appraise the research related to the effectiveness of symbolic gestures for typically developing, hearing infants with hearing parents. Eight electronic databases, reference lists, and websites were searched for relevant studies published from January 1990 to February 2013. Studies were included if they involved typically developing hearing children who were exposed to symbolic gestures before age 36 months. Of 1902 identified citations, 10 reports met the inclusion criteria. This review shows that the effectiveness of baby sign in improving communication development remains unclear. However, no evidence was identified to suggest that using baby sign interferes with typical child development.

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)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.072
GPT teacher head0.385
Teacher spread0.313 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations35
Published2014
Admission routes1
Has abstractyes

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