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Record W2104243923 · doi:10.1111/desc.12046

The role of parenting and dopamine D4 receptor gene polymorphisms in children's inhibitory control

2013· article· en· W2104243923 on OpenAlexafffund
Heather J. Smith, Katie R. Kryski, Haroon Sheikh, Shiva M. Singh, Elizabeth P. Hayden

Bibliographic record

VenueDevelopmental Science · 2013
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern University
FundersOntario Ministry of Research and InnovationCanadian Institutes of Health Research
KeywordsPsychologyDevelopmental psychologyAssociation (psychology)Inhibitory controlAlleleVulnerability (computing)TemperamentClinical psychologyCognitionGeneticsPersonalityGeneSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Temperamental effortful control has important implications for children's development. Although genetic factors and parenting may influence effortful control, few studies have examined interplay between the two in predicting its development. The current study investigated associations between parenting and a facet of children's effortful control, inhibitory control (IC), and whether these associations were moderated by whether children had a 7-repeat variant of the DRD4 exon III VNTR. A community sample of 409 3-year-olds completed behavioural tasks to assess IC, and observational measures of parenting were also collected. Negative parenting was associated with lower child IC. The association between children's IC and positive parenting was moderated by children's DRD4 7-repeat status, such that children with at least one 7-repeat allele displayed lower IC than children without this allele when positive parenting was lower. These effects appeared to be primarily influenced by parent support and engagement. Results extend recent findings suggesting that some genetic polymorphisms may increase vulnerability to contextual influences.

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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations60
Published2013
Admission routes2
Has abstractyes

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