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Record W2146814181 · doi:10.1111/1467-8624.00135

New Directions in Analyses of Parenting Contributions to Children's Acquisition of Values

2000· article· en· W2146814181 on OpenAlexaff
Joan E. Grusec, Jacqueline J. Goodnow, Leon Kuczynski

Bibliographic record

VenueChild Development · 2000
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of GuelphUniversity of Toronto
Fundersnot available
KeywordsPsychologyParenting stylesDevelopmental psychologySet (abstract data type)Scope (computer science)Child rearingParenting skillsSocial psychology

Abstract

fetched live from OpenAlex

Traditional theories of how children acquire values or standards of behavior have emphasized the importance of specific parenting techniques or styles and have acknowledged the importance of a responsive parent-child relationship, but they have failed to differentiate among forms of responsiveness, have stressed internalization of values as the desired outcome, and have limited their scope to a small set of parenting strategies or methods. This paper outlines new directions for research. It acknowledges the central importance of parents and argues for research that (1) demonstrates that parental understanding of a particular child's characteristics and situation rather than use of specific strategies or styles is the mark of effective parenting; (2) traces the differential impact of varieties of parent responsiveness; (3) assesses the conditions surrounding the fact that parents have goals other than internalization when socializing their children, and evaluates the impact of that fact; and (4) considers a wider range of parenting strategies.

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)0.020
metaresearch head score (Gemma)0.022
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0030.016
Scholarly communication0.0080.011
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.048
GPT teacher head0.379
Teacher spread0.332 · 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
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

Citations348
Published2000
Admission routes1
Has abstractyes

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