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Record W1763704826

MODERNIZATION, NATIONALISM AND THE ELITE: the Genesis of Brazilian jiu-jitsu, 1905-1920 <em> MODERNIZAÇÃO, NACIONALISMO E A ELITE: a origem do jiu-jitsu brasileiro, 1905-1920 </em>

2011· article· en· W1763704826 on OpenAlexaff
José Cairus

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPhysical Education and Sports Studies
Canadian institutionsYork University
Fundersnot available
KeywordsEliteModernization theoryNationalismAncient historyHistoryPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

http://dx.doi.org/10.5965/2175180303022011100 This article is based on a chapter of my dissertation entitled The Gracie Clan and the Making of Brazilian Jiu Jitsu: National Identity, Performance and Culture, 1905-1993. It analyzes the introduction, creolization, popularization and globalization of the martial art known as Brazilian jiu-jitsu, by examining the trajectory of the principal agents of these events, the Gracie family who reinvented the Japanese martial art by creating a complex, ritualistic hyper-masculinized life style, forged from the clash between tradition and modernity embed in violence “made in Brazil.” The article is divided in two sections in which I analyzed the introduction of Japanese jiu-jitsu as part of a turn-of- the-century global modernization. In the first part the narrative takes place in Rio de Janeiro in early twentieth century and examines the introduction of Japanese jiu-jitsu as modern school of physical education patronized by the military. This section is represented in the vignette “Round 1”. In the second part the narrative shifted to the Amazon where a modern school of jiu-jitsu was established as a result of a transnational encounter between a troupe of Japanese martial artists and a Scottish-Brazilian family. This section is represented in the vignette “Round 2”.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.219
GPT teacher head0.514
Teacher spread0.295 · 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 designObservational
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

Citations1
Published2011
Admission routes1
Has abstractyes

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