Parental Influences on Memories of Parents and Friends
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".