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Revisiting Women and the Electric Guitar: Why the Research Needs to be Updated and Expanded

2025· article· en· W4411867291 on OpenAlexfundno aff
Gabrielle Kielich

Bibliographic record

VenueEl oído pensante · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
FundersUniversity of California, San DiegoNelson Mandela UniversityUniversity of GlasgowUniversity of CambridgeEmory UniversityStrongUK Research and InnovationUniversity of South FloridaMcGill UniversityJohns Hopkins UniversityUniversity of OxfordHarvard University
KeywordsGuitarArtVisual artsAcousticsPhysics

Abstract

fetched live from OpenAlex

This article investigates the state of the research on women and the electric guitar and argues that there is a strong need for further research in this area. Existing scholarship primarily focuses on factors that inhibit women from playing the electric guitar, is mostly centered on offline/pre-Internet women and guitar relations and tends to link the electric guitar with masculinity and male sexuality and characterize it as a male-dominated practice. This means that the reasons why women do play the electric guitar are not given much attention, the Internet’s impact on women’s guitar practice is largely omitted, and other ways of approaching the relationship between gender and the electric guitar are given minimal consideration. I argue that all of these aspects are vital for better understanding women and the electric guitar, and for advancing the cause of gender equality in music and are therefore in urgent need of further research.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.320
Teacher spread0.232 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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