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Record W2888257831 · doi:10.1386/jpme.2.1-2.115_1

Strength in numbers: B-girls, gender identities and hip-hop education

2018· article· en· W2888257831 on OpenAlexaffabout
Mary Fogarty, Erica Cleto, Jessie Zsolt, Jacqueline Melindy

Bibliographic record

VenueJournal of Popular Music Education · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsToronto Metropolitan UniversityWestern UniversityYork University
Fundersnot available
KeywordsDanceMentorshipGender studiesSociologyPerforming artsEthnographyPerformativityGirlThe artsPedagogyPsychologyVisual artsArtDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract This article examines the experiences of females in local, community breaking (dance) programmes. The Toronto B-Girl Movement is a series of programmes offering lessons in breaking led by KeepRockinYou, an arts collective of women. Through ethnographic methods, researchers considered what motivates novice b-girls to take up breaking and what their experience of the scene and programme are. Building on the seminal work about gender performativity (Butler 1990), popular music education and gender (Green 1997), and female-led spaces (Björck 2011), we argue that novice b-girls do not necessarily identify their dance practice as resistant, empowering or ‘badass’ (Johnson 2014), instead these discourses are learned, performed and/or rejected. We suggest that intergenerational exchanges between women are productive in facilitating social rewards for new dancers (friendships, access to codes and conventions of hip-hop culture, mentorship and moral support). A growing number of females participating in the hip-hop scene locally is one result.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.264
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 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

Citations17
Published2018
Admission routes2
Has abstractyes

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