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Record W2021734929 · doi:10.1177/1012690205065749

The Samurai Sword Cuts Both Ways

2005· article· en· W2021734929 on OpenAlexaff
Yuka Nakamura

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsUniversity of Toronto
FundersMajor League Baseball
KeywordsLeagueNationalismContext (archaeology)GlobalizationPoliticsSWORDNewspaperTransnationalismPolitical scienceMedia studiesAdvertisingSociologyGender studiesEconomyEconomic historyHistoryEngineeringEconomicsLawBusiness

Abstract

fetched live from OpenAlex

This article illustrates how media representations of Suzuki Ichiro, a professional baseball player, have reproduced discourses of nationhood in Japan and the US, demonstrating how nationalism and globalization may articulate in sport. Some 365 articles that mentioned Ichiro, published in the Seattle Times (151), Mainichi Daily Newspaper (77), and Sports Nippon (137) were analyzed. These articles describe Ichiro’s inaugural season (2001-02) as the first Japanese position player in Major League Baseball. Transnationalism provides an important framework for understanding the specific space between the nation and the ‘other.’ In this instance, this space spans the US and Japan, US and Japanese baseball, and even US and Japanese media. Although Ichiro’s move from Japanese baseball to Major League Baseball is evidence of the globalization of sport, Ichiro is also a vehicle through which US and Japanese nationalism can be celebrated. The framework of transnationalism permits an understanding of the interplay between US and Japanese nation-building discourses, as well as providing a specific political and historical context.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.007
Scholarly communication0.0070.007
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.045
GPT teacher head0.379
Teacher spread0.334 · 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 designNot applicable
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

Citations37
Published2005
Admission routes1
Has abstractyes

Explore more

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