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Record W2546940112 · doi:10.5070/s5251029726

Our Home(s) and/on Native Land: Spectacular Re-Visions and Refusals at Vancouver’s 2010 Winter Olympic Games

2016· article· en· W2546940112 on OpenAlexaboutno aff
Natalie J. K. Baloy

Bibliographic record

VenueStreetnotes · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousVisionSpectacleState (computer science)ColonialismInclusion (mineral)PoliticsNationalismAestheticsPolitical scienceSociologyMedia studiesGender studiesLawArtAnthropology

Abstract

fetched live from OpenAlex

In this essay I examine how Indigenous artists and performers leveraged Indigenous inclusion in Vancouver’s 2010 Winter Olympic Games to refuse conditions that spectacularize Indigeneity for the consumptive appetite of settler-spectators. Their refusals, I suggest, called upon settler-spectators to reorient their placement on Indigenous land: to move from understanding themselves as citizens of a postcolonial nation-state celebrated through Olympic (inter)nationalism, to settlers (still) occupying unceded Indigenous territory. I critique how settler subjectivity and settler colonial relations have historically been produced through non-Indigenous people engaging with Indigenous people and political expression as spectators, enjoying the privilege and presumption of consuming and looking at Indigenous people and art. To be called into a different relation by Indigenous art and performance that refuses our spectatorship, we are called upon to relinquish our position as spectators, to identify ourselves as settlers, and to reorient ourselves temporally, spatially, and politically to Indigenous peoples and land. The positioning of Indigenous art and performance as refusals within and against the Olympics, the ultimate spectacle of statehood and inclusion, intensified their potency. Refusing and revising the spectacle, they playfully and powerfully unsettled settler-spectators and settler colonial conditions.

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 score0.333
Threshold uncertainty score0.995

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 communication0.0000.000
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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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