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Record W2381689461 · doi:10.1177/0272431616648454

The Hidden Role of Teachers: Child and Classroom Predictors of Change in Interracial Friendships

2016· article· en· W2381689461 on OpenAlexfundno aff
Elise Cappella, Diane Hughes, Meghan P. McCormick

Bibliographic record

VenueThe Journal of Early Adolescence · 2016
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
FundersInstitute of Education SciencesMcGill UniversityWilliam T. Grant FoundationCarnegie Corporation of New YorkU.S. Department of Education
KeywordsFriendshipRace (biology)PsychologyDevelopmental psychologyAfrican americanSocial psychologyGender studiesSociology

Abstract

fetched live from OpenAlex

Children in late elementary and middle school tend to form friendships with same-race peers. Yet, given the potential benefits of cross-race friendships, it is important to understand the individual and contextual factors that increase the likelihood of cross-race friendship over time. Guided by contact hypothesis and systems theory, we examine the student and classroom predictors of change in same-race friendships over 1 school year using a sample of 553 African American and European American students in 53 classrooms. Results suggest that same-race friendships increase over time, with greater increases among European American and older children. Youth externalizing behavior predicted a greater increase in same-race friendships; classroom support predicted less of an increase in same-race friendships from fall to spring. Lastly, African American students in classrooms with greater differential teacher treatment were more likely to engage in cross-race friendships over time. Findings are discussed in light of psychological and educational theories and prior research.

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)0.006
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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.280
Teacher spread0.255 · 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

Citations20
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Early AdolescenceSame topicBullying, Victimization, and AggressionFrench-language works237,207