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Record W2758563109 · doi:10.1080/2159676x.2017.1380694

Negotiating the ‘Kiwi Bloke’: accessing mosaic masculinities through Afro-Brazilian sport in New Zealand/Aotearoa

2017· article· en· W2758563109 on OpenAlexafffund
Janelle Joseph, Mark Falcous

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Toronto
FundersUniversity of TorontoUniversity of Otago
KeywordsAotearoaKiwiNegotiationMosaicGender studiesSociologyGeographyBiologySocial scienceArchaeologyEcology

Abstract

fetched live from OpenAlex

The ‘kiwi bloke’ – practical, tough, and unemotional – is a national archetype of masculinity based on a colonial settler history in New Zealand/Aotearoa. Such nationally specific masculinities, however, are always created in relation to international forces. This study reveals the ways men negotiate the ‘kiwi bloke’ identity through their participation in an Afro-Brazilian martial art: capoeira. On one hand, Capoeira in New Zealand/Aotearoa offers participants access to alternative masculinities, including promoting collectivity, learning physical proximity, singing, and dancing. On the other hand, the congruence of Afro-Brazilian machismo and dominant white-settler masculinities in New Zealand/Aotearoa means that the ‘kiwi bloke’ is ever-present among capoeira practitioners. Coles (Coles, T., 2008. Finding space in the field of masculinity. Journal of sociology, 44(3), 233–248) concept of ‘mosaic masculinities’ helps to capture how men who play capoeira negotiate multiple dominant and subordinate masculine characteristics while retaining their gender privilege. This article demonstrates the complexity of mosaic masculinities and the importance of understanding multiple national social constructions in understanding local performances of masculinity.

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)0.024
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.385
GPT teacher head0.586
Teacher spread0.202 · 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 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

Citations7
Published2017
Admission routes2
Has abstractyes

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