MétaCan
Menu
Back to cohort
Record W2114975559 · doi:10.1177/1012690212455374

Constructing and contesting the Olympics online: The internet, Rio 2016 and the politics of Brazilian development

2012· article· en· W2114975559 on OpenAlexaff
Rob Millington, Simon C. Darnell

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsQueen's University
Fundersnot available
KeywordsPoliticsPolitical scienceThe InternetResistance (ecology)Media studiesPublic relationsSociologyPublic administrationLaw

Abstract

fetched live from OpenAlex

The awarding of the 2016 Summer Olympics to the city of Rio de Janeiro, Brazil continues the trend of international sports mega-events being hosted in the global South and constructed and promoted as part of long-term development plans and policies. Rio 2016 also connects with the International Olympic Committee’s (IOC) current commitment to international development and global humanitarianism. In this paper, we examine the proliferation of this agenda through official online Olympic communication and compare it against critical perspectives from activist bloggers concerned with development issues specific to Rio 2016. The results support the notions that the internet can be used both to serve and challenge processes of capitalist accumulation and that political debates and contestations, such as those regarding development policy, are increasingly ‘amplified’ online. We argue, therefore, that while the IOC and Olympic stakeholders use the internet in support of neoliberal and modernist notions of development, online communications also offer important avenues for disseminating current critiques of, and resistance to, Olympic hosting.

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)0.003
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.050
GPT teacher head0.368
Teacher spread0.318 · 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

Citations35
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueInternational Review for the Sociology of SportSame topicSport and Mega-Event ImpactsFrench-language works237,207