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Record W2186295842 · doi:10.1515/irsr-2012-0013

‘Catalanism Only Will Win by the Force of Songs’, Revisited 100 Years After. The Role of Catalan(ist) Pop-Rock Music in Socially Sanitizing Working-Class Neighborhoods of Barcelona (1976–2000)

2012· article· en· W2186295842 on OpenAlexfundno aff
Jordi Nofre

Bibliographic record

VenueInternational Review of Social Research · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
FundersUniversidade Nova de LisboaFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsCatalanWorking classPoliticsNationalismGovernment (linguistics)Class (philosophy)SociologyUpper classVisual artsAestheticsHistoryMedia studiesArtPolitical scienceHumanitiesLawSocial scienceLinguistics

Abstract

fetched live from OpenAlex

Abstract: During the last years of the Spanish fascist regime, two politically contrary music scenes emerged in Barcelona. While Catalanist folk music emerged for political freedom, Spanished rock’n’roll, punk, and heavy scenes emerged in the working-class suburbs of Barcelona, denouncing bad conditions of everyday urban life. The great success of this last music scene in Barcelona in the 1980s led to the then nationalist, conservative government of Catalonia to promote a new socially and politically sanitized music scene in response to such class-based contestation. This study aims to explore how a new Catalan(ist) pop-rock scene was created to socially and culturally sanitize the working-class suburbs of Barcelona along the decades of the 1980s and 1990s.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.047
GPT teacher head0.322
Teacher spread0.276 · 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 designQualitative
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

Citations0
Published2012
Admission routes1
Has abstractyes

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