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Record W2022427634 · doi:10.1177/0142723714562432

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: Response to Howard and Doherty-Sneddon’s commentary

2014· review· en· W2022427634 on OpenAlexaff
Elizabeth M. Fitzpatrick, J. Cyne Johnston, Jonelle Thibert, Viviane Grandpierre

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
KeywordsIntervention (counseling)Sign languageSign (mathematics)MedicineSystematic reviewAmerican Sign LanguagePsychologyDevelopmental psychologyAudiologyMEDLINENursingLinguistics

Abstract

fetched live from OpenAlex

A systematic review was conducted to synthesize the evidence related to the effectiveness of baby sign language for children with typical development. This response to a Commentary on the review stresses that the primary purpose of the review was to assist caregivers and policy makers with informed decision-making related to the benefits of the intervention. This response reiterates the need for rigorous studies to evaluate whether early exposure to baby sign can enhance children’s development. While there is no conclusive evidence to support the effectiveness of baby sign intervention, this response concludes that there is also no evidence that early exposure to sign language negatively affects typical 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)0.022
metaresearch head score (Gemma)0.123
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 score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.123
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0030.002
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.378
Teacher spread0.319 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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