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Record W2097733234 · doi:10.1123/ssj.25.4.498

The Logical Paradox of the Cultural Commodity: Selling an “Authentic” Afro-Brazilian Martial Art in Canada

2008· article· en· W2097733234 on OpenAlexafffundabout
Janelle Joseph

Bibliographic record

VenueSociology of Sport Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMartial Arts: Techniques, Psychology, and Education
Canadian institutionsUniversity of Toronto
FundersMcMaster University
KeywordsCommoditizationNegotiationMulticulturalismCommoditySociologyNexus (standard)Martial artsEthnographyTourismAestheticsLogical analysisClothingSocial scienceArtPolitical scienceAnthropologyPedagogyVisual artsLawBusiness

Abstract

fetched live from OpenAlex

The examination of an Afro-Brazilian martial art, capoeira, offers a sport-tourism nexus in which to study authenticity discourses. This article, based on an ethnography of a capoeira group in Canada, exposes teachers’ representations of “authentic capoeira” as logical paradoxes. Teachers market what they know is neither original nor pure as “authentic” to take advantage of the expectations, desires, and economic resources of their Canadian students. In turn, students negotiate and accept sometimes-contra-dictory descriptions of real capoeira, fueled by their desire for fun, fitness, and proximity to a culture that is of another time and place. I suggest that authenticity discourses are critical to notions of multiculturalism in Canada, and are necessary components of the commoditization of culture.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.074
Threshold uncertainty score0.540

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0340.023
Scholarly communication0.0090.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.042
GPT teacher head0.326
Teacher spread0.284 · 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

Citations33
Published2008
Admission routes3
Has abstractyes

Explore more

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