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Record W601984491 · doi:10.1017/cbo9780511499739

Peer Relationships in Cultural Context

2006· book· en· W601984491 on OpenAlexaff
Xinyin Chen, Carolyn Pope Edwards, Anne Tietjen, Noel A. Card, William A. Corsaro, Pamela M. Cole, Nancy Eisenberg, Joan Stevenson‐Hinde, David A. Nelson, Paul P. Goudena, Yiyuan Xu, Suzanne Gaskins, Barry H. Schneider, Maykel Verkuyten, Kenneth H. Rubin, Doran C. French, Niobe Way, Margarita Azmitia

Bibliographic record

VenueCambridge University Press eBooks · 2006
Typebook
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsWestern University
Fundersnot available
KeywordsSocializationEthnographyEthnic groupContext (archaeology)Observational studyPsychologyPeer groupSocial psychologySocial environmentInterviewSociologyDevelopmental psychologyGeographySocial scienceAnthropologyMedicine

Abstract

fetched live from OpenAlex

This book responds to the absence of a comprehensive consideration of the implications of culture for children's peer relationships. Although research in this field has burgeoned in recent years, cultural issues have often been overlooked. The chapters tap such issues as the impact of social circumstances and cultural values on peer relationships, culturally prescribed socialization patterns and processes, emotional experience and regulation in peer interactions, children's social behaviors in peer interactions, cultural aspects of friendships, and peer influences on social and school adjustment in cultural context. The authors incorporate into their discussions findings from research programs using multiple methodologies, including both qualitative (e.g., interviewing, ethnographic and observational) and quantitative (e.g., large scale surveys, standardized questionnaires) approaches, based on a wide range of ages of children in cultures from East to West and from South to North (Asia, South America, the Mid-East, Southern Europe, and ethnic groups in the US).

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.084
GPT teacher head0.286
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations180
Published2006
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicParental Involvement in EducationFrench-language works237,207