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Record W1988432245 · doi:10.1080/15205436.2012.675460

When Symbols Clash: Legitimacy, Legality and the 2010 Winter Olympics

2012· article· en· W1988432245 on OpenAlexaffabout
Karen-Marie Elah Perry, Helen Kang

Bibliographic record

VenueMass Communication & Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsSimon Fraser UniversityUniversity of Victoria
Fundersnot available
KeywordsCivil libertiesLesbianNationalismLegitimacyPrinciple of legalitySociologyPoliticsLawPolitical sciencePovertyGender studiesMedia studies

Abstract

fetched live from OpenAlex

In February 2010, the Olympics descended on Vancouver, British Columbia. Between athletes competing for gold and a provincial venue with the highest poverty rate in Canada, a clash of symbols arose: those deemed legitimate by the Vancouver Olympic Organizing Committee (VANOC) and those deemed illegitimate. The Games not only transformed the city's landscape, municipal laws, infrastructure, and social relations but also resulted in the concurrent transformation of the city's visual culture. As an explicit tactic, Aboriginal; antipoverty; environmental; anarchist; and lesbian, gay, bisexual, and transgender activists employed countersymbols to disrupt VANOC's plans. Through qualitative discourse analysis of photos and visual imagery, this article addresses social, historical, political, and economic issues tied to this clash of symbols, including the use of Aboriginal cultures in representations of Canadian nationalism; infringements upon civil liberties and freedom of speech that resulted from surveillance of activists and constraints to the arts; and visual counter-discourse produced by activists through demonstrations, posters, and art.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.667
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.328
Teacher spread0.283 · 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 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

Citations10
Published2012
Admission routes2
Has abstractyes

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