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Social Class Culture Cycles: How Three Gateway Contexts Shape Selves and Fuel Inequality

2013· review· en· W2161430222 on OpenAlex

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

VenueAnnual Review of Psychology · 2013
Typereview
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsInequalitySocial inequalityGateway (web page)Social classSociologyClass (philosophy)Middle classSocial mobilityFeelingStructural inequalityPsychologySocial psychologySocial sciencePolitical scienceEpistemologyComputer science

Abstract

fetched live from OpenAlex

America's unprecedented levels of inequality have far-reaching negative consequences for society as a whole. Although differential access to resources contributes to inequality, the current review illuminates how ongoing participation in different social class contexts also gives rise to culture-specific selves and patterns of thinking, feeling, and acting. We integrate a growing body of interdisciplinary research to reveal how social class culture cycles operate over the course of the lifespan and through critical gateway contexts, including homes, schools, and workplaces. We first document how each of these contexts socializes social class cultural differences. Then, we demonstrate how these gateway institutions, which could provide access to upward social mobility, are structured according to middle-class ways of being a self and thus can fuel and perpetuate inequality. We conclude with a discussion of intervention opportunities that can reduce inequality by taking into account the contextual responsiveness of the self.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.090
GPT teacher head0.458
Teacher spread0.369 · 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