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Record W1907566031

올림픽 개막식과 국가 정체성의 구성

2011· article· ko· W1907566031 on OpenAlexaboutno aff
이종수

Bibliographic record

Venue한국방송학보 · 2011
Typearticle
Languageko
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismNational identityGender studiesContext (archaeology)NarrativeIndividualismEthnic groupBeijingSociologyNational IdentitiesDiversity (politics)Media studiesPolitical scienceGeographyAnthropologyLawArtLiteratureChina
DOInot available

Abstract

fetched live from OpenAlex

The Olympic opening ceremonies in modern societies are among the most important global media ritual in which national identities are constructed and celebrated. In this study, the different ways of constructing national identities employed in the Olympic opening ceremonies of the Nagano(1998), Sydney(2000), Beijing(2008), and Vancouver(2010) Olympics were identified and compared. This study closely examined the visual text of cultural performances in the Olympic opening ceremonies, with focus on the narratives of the ‘nation,’ visual images, and other representational devices relating to national identities. The findings show that the national identities that were shown in the aforementioned Olympic opening ceremonies differ in terms of the emphasis on globalism vs. nationalism, collectivism vs. individualism, diversity ingender and ethnicity. It is also found that the discourse of the nation is constructed by merging the universalism of the Olympics with particular national values and nationalist cause. Finally, this paper discusses the implication of the ‘adjusted’ national identities in the changing global 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)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.002

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 head0.116
GPT teacher head0.320
Teacher spread0.204 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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