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Record W4403489247 · doi:10.1558/jwpm.26150

Performing Gender in Late Spanish Folk Revival

2024· article· en· W4403489247 on OpenAlexfundno aff
Marina González-Varga, María Jesús Pena-Castro

Bibliographic record

VenueJournal of World Popular Music · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsHistoryArtPsychology

Abstract

fetched live from OpenAlex

This article focuses on modern musical practices from Art al Quadrat, A Banda da Loba and Nun Tamos Toes which relate in a variety of ways to the idea of tradition and folklore. These musical practices represent a part of the folk revival process, revitalizing a countercultural movement, which portrays a clash of ideologies and identities. Identities and ideologies related with feminism are acted out through performance aesthetics, its staging, and musical references. Adapting, renewing and introducing new gender models and innovative main characters as part of the musical discourse are some of the main features of this reinvention. In this case, the research is focused on reshaping and reconstructing gender imaginaries of women through music. Popular music’s need to update to current social issues in order for it to become an element of social relevance is presented through the reinvention of popular music.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.018
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.046
GPT teacher head0.253
Teacher spread0.207 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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