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Record W4416569010 · doi:10.1177/07311214251390957

Are Networks Great Equalizers? Intergenerational Closure, Cultural Capital, and Capital Conversion in Elementary Schools

2025· article· en· W4416569010 on OpenAlex
Angran Li, Scott Davies

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociological Perspectives · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSocioeconomic statusDisadvantagedSocial capitalCultural capitalSocial classSocial mobilityCapital (architecture)InequalityClosure (psychology)

Abstract

fetched live from OpenAlex

Building upon theories of capital conversion, we examine relationships between one form of social capital (intergenerational closure, defined as the number of connections among parents in a school) and both simple and complex forms of cultural capital (school-oriented home activities and concerted cultivation) across socioeconomic status (SES). Using nationally representative data from the Early Childhood Longitudinal Study-Kindergarten Class of 2010 to 2011, the results show that intergenerational closure is significantly and positively associated with both home activities and concerted cultivation, having a stronger association with the latter. Families with lower SES report higher rates of engaging in everyday home activities, whereas families with higher SES concentrate more of their efforts into concerted cultivation. Furthermore, network size positively affects home activities across socioeconomic contexts but has stronger associations with concerted cultivation in socioeconomically disadvantaged families. We interpret these findings as suggesting that parental networks can be key mechanisms for converting forms of capital in socioeconomically disadvantaged contexts.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.375
Teacher spread0.320 · 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