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Record W2570100778 · doi:10.1163/18765610-02304007

Sports as Third World Nationalism

2016· article· en· W2570100778 on OpenAlexaff
David Webster

Bibliographic record

VenueJournal of American-East Asian Relations · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsBishop's University
Fundersnot available
KeywordsNationalismIndonesianChinaPolitical scienceStatus quoMasculinityPoliticsGender studiesAsian studiesInternational relationsLawSociology

Abstract

fetched live from OpenAlex

Indonesian President Sukarno established the Games of the New Emerging Forces (ganefo) not only as an alternative to the Olympic Games in the 1960s, but also as part of a systemic challenge to the international status quo. They occurred twice, once in Indonesia in 1963 and again (as “Asian ganefo”) in Cambodia in 1966. The ganefo drew on Asian left-nationalism and neutralism and foreshadowed a possible alternative United Nations that Sukarno planned to call the Conference of the New Emerging Forces (conefo), with membership from the People’s Republic of China and other Asian states. This research note explores the link between sports, Indonesian nationalism and neutralism, ideas of Indonesian martial masculinity, and global politics during the 1960s in East Asia. Contrary to the ideal of the International Olympic Committee (ioc) to keep sports and politics separate, it suggests that both the ioc and Sukarno’s Indonesia mixed sports and politics, but in very different ways.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0060.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.015
GPT teacher head0.313
Teacher spread0.298 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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