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Differential-Maternal Parenting Behavior: Estimating Within- and Between-Family Effects on Children

2004· article· en· W2167828036 on OpenAlexaffabout
Michael H. Boyle, Jennifer M. Jenkins, Katholiki Georgiades, John Cairney, Eric Duku, Yvonne Racine

Bibliographic record

VenueChild Development · 2004
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCentre for Addiction and Mental HealthUniversity of TorontoMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsPsychologyDevelopmental psychologyChild developmentParenting stylesDifferential (mechanical device)Maternal deprivationChildhood development

Abstract

fetched live from OpenAlex

This study examined the impact of differential-maternal parenting behavior, evaluated as a family-level experience, on children's emotional-behavioral problems. Data come from 3 child development studies: 2,128 four- to sixteen-year-olds (Ontario Child Health Study), 7,392 four- to eleven-year-olds (National Longitudinal Study of Children and Youth), and 1,992 three- to fourteen-year-olds (National Longitudinal Study of Youth). In 2 of 3 studies, there was consistent evidence that differential-maternal parenting behavior had an adverse impact on all siblings as a group, over and above parenting directed at individual siblings. The strength of association was sensitive to the type of maternal parenting behavior, dimension of child maladjustment, and respondent perspective (stronger for hostile/negative parenting, child externalizing problems, and mother assessments of child emotional-behavioral problems).

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)0.006
metaresearch head score (Gemma)0.028
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 score0.015
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.016
GPT teacher head0.267
Teacher spread0.251 · 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

Citations97
Published2004
Admission routes2
Has abstractyes

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