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Record W2121558785 · doi:10.1177/0193723502262004

Global Celebrity Athletes and Nationalism

2002· article· en· W2121558785 on OpenAlexafffundabout
Lloyd Wong, Ricardo Trumper

Bibliographic record

VenueJournal of Sport and Social Issues · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsOkanagan CollegeUniversity of Calgary
FundersCanadian Imperial Bank of Commerce
KeywordsTransnationalismNationalismGlobalizationAthletesContext (archaeology)CitizenshipSymbol (formal)National identityPolitical scienceGender studiesDeterritorializationSociologyPolitical economyLawPoliticsGeography

Abstract

fetched live from OpenAlex

Globalization scholars have pointed to a world of increasing transnationalism and deterritorialization that contributes to new meanings of identity and citizenship as the nation-state declines. Sports, and their transnational labor migration, play an important role in both undermining and strengthening nations and national identities. In this context, this article examines two superstar and global celebrity athletes in the sports of fútbol and hockey: Iván Zamorano and Wayne Gretzky. The article shows that although Zamorano and Gretzky are prime examples of transnational citizens and global business persons, living in both national and transnational spaces, it is ambiguous, paradoxical, and contradictory that in Chile, Zamorano represents and symbolizes the essence of Chileaness and that in Canada, Gretzky is usually offered as the symbol of a true Canadian. These two global celebrity athletes embody transnational cultural and capitalist business practices and, at the same time, willingly serve as national cultural icons for the formation and reaffirmation of national identities.

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)0.001
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 score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0060.002
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.029
GPT teacher head0.236
Teacher spread0.207 · 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

Citations57
Published2002
Admission routes3
Has abstractyes

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