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Record W4224869344 · doi:10.3389/fspor.2022.779522

Hosting and Human Rights: The Summer Olympics in the Twenty-First Century

2022· article· en· W4224869344 on OpenAlexaff
MacIntosh Ross, Michael McDougall

Bibliographic record

VenueFrontiers in Sports and Active Living · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsWestern University
Fundersnot available
KeywordsHuman rightsPolitical scienceLaw

Abstract

fetched live from OpenAlex

During the twenty-first century, Summer Olympic Games have been used to distract from, justify and push through acts of increased securitization, surveillance, and displacement of the host city populace. Situating sport within the field of International Relations, we outline these civil and human rights intrusions across successive Games. From Sydney 2000 to Rio de Janeiro 2016, we explicate the consequences, contestedness, and evolution of repressive techniques applied at each Games using theories of hegemony espoused by Antonio Gramsci, Robert W. Cox, and Raymond Williams, among others. In doing so, we demonstrate how the International Olympic Committee (IOC), their partners and host cities are wedded in a symbolic and symbiotic courtship that manufactures local consent for and normalizes human right infringements; simultaneously providing the architecture for the spread and imposition of neoliberal order on the citizenry, while masking the damage done by and through the Olympics. Finally, we close by asserting that the current formulation of the Olympics are not 'the best we can do.' Instead, through the counterhegemonic potential of critical approaches and engaged, strategic action, a transformation of critical consciousness - and the Olympics, into something to be proud of - remain a live and entirely possible option.

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)0.002
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 score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.031
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in Sports and Active LivingSame topicSport and Mega-Event ImpactsFrench-language works237,207