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Parental authority, nurturance, and two-dimensional self-esteem

2010· article· en· W1969658441 on OpenAlexaff
Romin W. Tafarodi, Nicole Wild, Caroline Ho

Bibliographic record

VenueScandinavian Journal of Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologySelf-esteemDevelopmental psychologyCompetence (human resources)Social psychologyPermissivenessAuthoritarianism

Abstract

fetched live from OpenAlex

This study examined the relations of parental permissiveness, authoritativeness, authoritarianism, and nurturance with two dimensions of self-esteem - self-liking and self-competence. In a sample of 207 two-parent families, university students and both their parents provided independent reports on all the above variables. Covariance structure analysis was used to eliminate reporter-specific bias and unreliability in predicting student self-esteem from parenting behavior. The results revealed highly redundant positive associations of mothers' and fathers' authoritativeness and nurturance with both self-liking and self-competence. The pattern of these associations suggests that the significance of parental authoritativeness for the child's self-esteem is due mainly to the nurturance it provides. Contrary to expectation, mothers' and fathers' authoritarianism was also positively associated with self-liking. As discussed, however, this is likely to be an artifact of the specific measures and testing methods used.

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)0.007
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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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

Citations29
Published2010
Admission routes1
Has abstractyes

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