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Record W1975424855 · doi:10.1080/14766825.2012.683661

The possessive logic of settler‐invader nations in Olympic ceremonies

2012· article· en· W1975424855 on OpenAlexaboutno aff
Cath Ellis

Bibliographic record

VenueJournal of Tourism and Cultural Change · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
FundersOne Mind
KeywordsIndigenousPossessiveSovereigntyMedia studiesIdeologyColonialismSociologyHistoryLawPolitical scienceGender studiesPolitics

Abstract

fetched live from OpenAlex

Staging Olympic Games offers hosts a unique opportunity to showcase their nation as a tourist destination. This opportunity is particularly exploited in the opening and closing ceremonies that are able to attract unparalleled international television audiences. Over the first 11 decades or so of the modern Olympic movement, as the ceremonies have become more complex and spectacular, they have developed their own generic conventions of national storytelling. Therefore, it is possible to compare prevailing national ideologies in these ceremonies and ascertain how and where shifts and changes in them are taking place. In this paper, I analyse the opening and closing ceremonies of the 13 Summer and Winter Olympic Games that have been hosted in nations that were formerly part of the British Empire (the USA, Australia and Canada). I analyse the similarities and differences of these ceremonies in order to better understand the discursive construction of settler‐invader national stories that is going on within them. I focus on three aspects: who has the right to welcome visitors, how a discourse of ‘unity in diversity’ is mobilised and how the historical fact of violent dispossession is managed. Informed by the work of Aileen Moreton-Robinson, I propose that these ceremonies can be read as manifestations of the possessive logic of patriarchal white sovereignty and, as such, that the changes that occur from one to the next tell us a great deal about how settler‐invader nations successfully manage Indigenous challenges to the legitimacy of their national stories.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.183

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.093
GPT teacher head0.359
Teacher spread0.266 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2012
Admission routes1
Has abstractyes

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