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Record W4399307528 · doi:10.7454/proust.v7i1.1135

Role Of Self-efficacy As A Mediator In The Relationship Between Parental Restriction And The Quality Of Cross-Ethnic Friendships

2024· article· en· W4399307528 on OpenAlexaboutno aff
Kelvin Andrea, Darmawan Muttaqin

Bibliographic record

VenuePsychological Research on Urban Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupMediatorPsychologyQuality (philosophy)Developmental psychologySocial psychologySociologyMedicineAnthropologyInternal medicinePhysics

Abstract

fetched live from OpenAlex

Urban environments can help form cross-ethnic friendships among individuals. However, many parents impose restrictions on their children’s ability to develop friendships, particularly between Chinese and Javanese ethnic groups. These parental restrictions directly impact the quality of friendships and are believed to be mediated by self-efficacy. This study examined the role of self- efficacy as a mediator in the relationship between parental restrictions and the quality of cross- ethnic friendships. The study involved 400 emerging adults aged 18–25 years, comprising 200 Chinese and 200 Javanese individuals. Parents’ peer restriction, Cross-Ethnic Friendship Self- Efficacy, and McGill Friendship Questionnaires-Friendship Function were used to measure parental restriction, self-efficacy, and friendship quality. Hypotheses were tested using the Sobel test. The study found that self-efficacy did not mediate between parental restriction and friendship quality. The findings suggest considering the role of friendship duration on interethnic friendship quality consistent with the principles of proximity and homophily.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.266
GPT teacher head0.542
Teacher spread0.276 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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