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Record W2062074863 · doi:10.1080/00221325.2010.503976

Parental Influences on Memories of Parents and Friends

2010· article· en· W2062074863 on OpenAlexaff
Franca Tani, Alice Bonechi, Carole Peterson, Andrea Smorti

Bibliographic record

VenueThe Journal of Genetic Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsMemorial University of Newfoundland
FundersFondazione del Monte di Bologna e RavennaInternational Psychoanalytical Association
KeywordsPsychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The authors evaluated the role parent-child relationship quality has on two types of memories, those of parents and those of friends. Participants were 198 Italian university students who recalled memories during 4 separate timed memory-fluency tasks about their preschool, elementary school, middle school, high school and university years. Half were instructed to recall memories involving parents and the remainder memories involving friends. Moreover, parent-child relationships were assessed by the Network of Relationships Inventory (NRI; W. Furman & D. Buhrmester, 1985) and Adolescents' Report of Parental Monitoring (D. M. Capaldi & G. R. Patterson, 1989). Results showed that men with positive parent-son relationships had more memories of parents and more affectively positive memories of friends, supporting a consistency model positing similarity between parent-child relationships and memories of friends. Women with positive parental relationship quality had more affectively positive memories of parents but for friends, positive relationship quality only predicted positive memories when young. At older ages, especially middle school-aged children, negative parent-daughter relationships predicted more positive memories of friends, supporting a compensatory model. The gender of parent also mattered, with fathers having a more influential role on affect for memories of friends.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.104
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.359
Teacher spread0.337 · 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 teacher head, 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

Citations10
Published2010
Admission routes1
Has abstractyes

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