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Record W4395002280 · doi:10.1386/ghhs_00074_1

The future of Filipino breaking: A tale of two kuyas

2023· article· en· W4395002280 on OpenAlexaboutno aff
Paolo Bitanga

Bibliographic record

VenueGlobal Hip Hop Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

With world champions breakers like Canada’s Karl ‘Dyzee’ Alba and the United Kingdom’s Ereson ‘Mouse’ Catipon, Filipino diaspora have been a global force in breaking; however the domestic Filipino dance scene has remained relatively understudied. In this article, I argue that breaking in the Philippines has been stymied by an ongoing ideological battle between professionalization and tradition. This juxtaposition is aptly distilled in the legacies of Dyzee and Mouse, in which the former mentored local dance professionals and the latter made the country a mecca for hip hop humanitarianism. These highly regarded thought-leaders each garnered local followings that are often at odds with each other. Despite these differences however, on the issue of the Olympics, the two camps have joined together in unprecedented fashion. In 2021, Filipino dance community leaders formed the B-boy & B-girl Association of the Philippines (BBAP) in order to unite the local scene and take ownership of the country’s Olympic endeavours. With Dyzee as president and Mouse as vice president, BBAP combines community-building and enterprise in order to enhance the Philippines’s global competitiveness and visibility in the world of breaking. This research aims to historicize Filipino breaking culture in light of the Olympic moment. To do so, it employs an ethnography among BBAP supported by personal and archival interviews from the 2011 documentary, Pinoy B-boy (Bitanga 2011).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.967

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.358
Teacher spread0.319 · 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.

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
Published2023
Admission routes1
Has abstractyes

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