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Record W2017567582 · doi:10.1177/1749975514539800

Symbolic Capital and Gender: Evidence from Two Cultural Fields

2014· article· en· W2017567582 on OpenAlex
Diana L. Miller

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCultural Sociology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsSymbolic capitalThe SymbolicCultural capitalCapital (architecture)SociologySalience (neuroscience)Symbolic powerInstitutionalisationField (mathematics)PsychologySocial sciencePolitical scienceLawHistoryCognitive psychologyArchaeologyPsychoanalysis

Abstract

fetched live from OpenAlex

This article builds a gendered understanding of Bourdieu’s concept of symbolic capital. Through a comparison of two cultural fields – the heavy metal scene and the contemporary folk scene in Toronto, Canada – I show that field structure impacts the extent to which gendered dispositions (which we can understand as masculine capital and feminine capital) are exchangeable for symbolic capital, or reputation. Using semi-structured interviews, discourse analysis, and participant observation, I highlight two features of the fields that shape the extent to which masculine and feminine capital produce symbolic capital: the degree to which symbolic capital is institutionalized, and the level of symbolic boundary-drawing in the field. The heavy metal field’s low institutionalization of symbolic capital and high symbolic boundaries heighten the salience of gender as a basis of symbolic capital, while the folk field’s high institutionalization of symbolic capital and low symbolic boundary-drawing reduce the extent to which gender matters.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.069
GPT teacher head0.365
Teacher spread0.296 · 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