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Record W2114037315 · doi:10.1111/ped.12042

Associations of biological factors and affordances in the home with infant motor development

2012· article· en· W2114037315 on OpenAlexaboutno aff
Raquel Saccani, Nádia Cristina Valentini, Keila RG Pereira, Alessandra Bombarda Müller, Carl Gabbard

Bibliographic record

VenuePediatrics International · 2012
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAffordanceContext (archaeology)Environmental healthDevelopmental psychologyMotor skillScale (ratio)Child developmentInfant developmentPediatricsPsychologyPsychiatryGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Whereas considerable work has been published regarding biological factors associated with infant health, much less is known about the associations of environmental context with infant development - the focus of the present cross-sectional study. METHODS: Data were collected on 561 infants, aged newborn to 18 months. Measures included the Affordances in the Home Environment for Motor Development-Infant Scale, Alberta Infant Motor Scale, and selected bio/medical factors. Correlation and regression were used to analyze the data. RESULTS: Home environmental factors were associated with children's motor development as much as some typically high-risk biologic factors. CONCLUSION: The home environment partially explained infant development outcomes and infants at risk could possibly be helped with a home assessment for affordances.

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)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.287
Teacher spread0.248 · 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

Citations119
Published2012
Admission routes1
Has abstractyes

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