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Record W2125503279 · doi:10.1177/0044118x08314243

Social and Subcultural Capital Among Teenagers in Northern Ireland

2008· article· en· W2125503279 on OpenAlexaff
Madeleine Leonard

Bibliographic record

VenueYouth & Society · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsQueen's University
Fundersnot available
KeywordsSocial capitalSocial mobilitySociologyFallacySocial reproductionIndividual capitalEconomic capitalSocial statusRelevance (law)Capital (architecture)Social psychologySocial scienceEconomic growthEconomicsPolitical sciencePsychologyHuman capitalGeographyLawEpistemology

Abstract

fetched live from OpenAlex

This article makes a case for the inclusion of subcultural capital as an indictor of social capital networks in the lives of teenagers. It does so by critiquing approaches that assume that adult measures of social capital can be nonproblematically extended to account for stocks of social capital held by younger generations. To illustrate the fallacy of this approach, this article draws on data from the 2003 Northern Ireland Young Life and Times Survey (NIYLTS) and the indicators used to explore the relevance of social capital in the lives of teenagers. By ignoring concepts such as subcultural capital, surveys such as the NILYTS provide partial frameworks for understanding the complexities of young people's links to social capital networks and their inclusive and exclusive effects.

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)0.002
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 score0.107
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.028
GPT teacher head0.256
Teacher spread0.228 · 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

Citations35
Published2008
Admission routes1
Has abstractyes

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