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Record W2141545441 · doi:10.1177/0016986216675351

Parenting Styles and Adjustment in Gifted Children

2016· article· en· W2141545441 on OpenAlexaff
Vassiliki Pilarinos, C. Ruth Solomon

Bibliographic record

VenueGifted Child Quarterly · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyParenting stylesPsychosocialDevelopmental psychologyStyle (visual arts)Child rearingClinical psychology

Abstract

fetched live from OpenAlex

The present study examined the relationship between parenting styles and the psychosocial adjustment of 48 children aged 7 to 11 years, each of whom had been identified as gifted on the basis of a score of 130 or above on the Wechsler Intelligence Scale for Children–Fourth Edition. Parenting styles and child psychosocial adjustment were measured using self-report questionnaires. Nineteen of the 48 gifted children in the sample (39.6%) were described by their parents as having peer social problems, descriptions that were not consistent with results obtained from the children and their teachers. Mothers also reported more child conduct problems than did the teachers. No associations were found between parenting styles and social problems with peers. Although the findings supported existing research on fathers’ parenting styles, some of the relationships between mothers’ parenting style and gifted child outcomes were not consistent with previous studies on parenting styles.

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)0.004
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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

Citations36
Published2016
Admission routes1
Has abstractyes

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