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Record W2047342189 · doi:10.1002/pits.10066

Friendship networks and social, school and psychological adjustment in Chinese junior high school students

2003· article· en· W2047342189 on OpenAlexaff
Mowei Liu, Xinyin Chen

Bibliographic record

VenuePsychology in the Schools · 2003
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsWestern University
Fundersnot available
KeywordsFriendshipLonelinessPsychologyDevelopmental psychologyCompetence (human resources)Social competenceSocial psychologyAcademic achievementSocial change

Abstract

fetched live from OpenAlex

Abstract The purpose of the study was to examine friendship networks and their associations with social, academic and psychological adjustment in Chinese high school students. A sample of 296 eighth grade students, aged 14 years, in two junior high schools in Shanghai, P. R. China, participated in this study. Information on social functioning, social preference, leadership, school‐related competence and problems, academic achievement, and psychological adjustment including loneliness and perceived competence was obtained from multiple sources. By using a computer‐based network analysis program, NEGOPY, friendship groups, liaisons, dyads and isolates were identified. It was found that children who belonged to friendship groups differed from those who had only one or two mutual friends and those who were completely isolated on indexes of social, emotional and school adjustment. Compared with dyads who had mutual friends, group members had higher scores on social and school competence and lower scores on learning problems and loneliness, suggesting that friendship networks might represent a phenomenon distinct from dyadic relationships. Finally, children who had behavioral and academic problems had difficulties not only in getting involved in group networks but also in establishing mutual friendships in the class. © 2003 Wiley Periodicals, Inc. Psychol Schs 40: 5–17, 2003.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.031
GPT teacher head0.371
Teacher spread0.341 · 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.

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

Citations60
Published2003
Admission routes1
Has abstractyes

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