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Record W2151732027 · doi:10.1080/1028663032000089507

Singing alone? The contribution of cultural capital to social cohesion and sustainable communities

2003· article· en· W2151732027 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Cultural Policy · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsSocial capitalCultural capitalCohesion (chemistry)Individual capitalSociologySocial reproductionSingingCapital (architecture)Social mobilityEconomic capitalPublic relationsSocial scienceEconomicsEconomic growthPolitical scienceHuman capitalManagement

Abstract

fetched live from OpenAlex

Abstract: Social capital has been defined by Robert Putnam in his book Bowling Alone: The Collapse and Revival of American Community as “features of social organizations, such as networks, norms and trust, that facilitate action and co-operation for mutual benefit.” Cultural capital, as defined by Pierre Bourdieu, has most often been associated with personal interest in and experience with prestigious cultural resources. According to this definition of cultural capital, familiarity with traditional high-culture forms is a defining characteristic of individuals occupying high status positions within a society. In recent years, cultural policy makers have begun to express a stronger interest in the linkages between these forms of capital. This paper focuses on linkages between personal investments in culture and the propensity to volunteer, using data from the Canadian General Social Survey. It concludes that there are collective benefits from investments in cultural capital and that these benefits make a significant contribution to social cohesion.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.345
Teacher spread0.327 · 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