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Record W224437438

Mega Sport for All? Assessing the Development Promises of Rio 2016

2010· article· en· W224437438 on OpenAlexaboutno aff
Simon C. Darnell

Bibliographic record

VenueProceedings: International Symposium for Olympic Research · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsCommonwealthPolitical sciencePower (physics)PovertyMiddle classGeographyMedia studiesSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Introduction On October 2, 2009, the International Olympic Committee (IOC) named Rio de Janeiro, Brazil the host city for the 2016 Summer Olympic Games. The announcement saw Rio chosen from a group of world-class cities contending for the Games that also included Chicago, Tokyo and Madrid, and become the first city on the South American continent awarded the rights to host the Games. Media reaction to the news was swift, focusing on the historic nature of the decision and the choice of Rio over northern cities in traditionally superior political and economic positions, particularly Chicago, which enjoyed the endorsement of United States President Barack Obama. At the same time, included in the early media narratives of the decision was the prospect for improvement, both economic and social, that the Games offered Rio, particularly amidst Brazil's emergence as a world power. For example, Canadian media reported that Brazilian President Luiz Incio Lula da Silva told the IOC members that his was a nation that was working hard to move out of poverty. He evoked images of a country where 30 million people had moved into the middle class and that owned the newest and richest offshore oil finds in the world. (1) Such early narratives were not entirely surprising given two recent trends in the political economy of international sport: one, the invocation of sports mega-events like the Olympic Games (as well as the FIFA World Cup and Commonwealth Games) as part of, and even catalysts for, sustainable social and economic development models for host cities/nations in the Global South; (2) and two, the broader institutionalization and mobilization of 'Sport for Development and Peace' which advocates for sport programs, policies, and infrastructure as a means of meeting international development goals (3), a movement of which the International Olympic Committee itself is a stakeholder. This paper offers an overview, and critical reading, of the early development narratives and promises of Rio 2016 as espoused by the International Olympic Committee, the organizers of Rio 2016, and the dominant political and commercial interests as read through media and marketing texts. While much time and socio-political maneuvering remains before the delivery of the development prospects of Rio 201 6 can be assessed, it is an important preliminary step to track, and consider critically, the expectations of Rio 2016 in and through development terms, particularly given ongoing critical analyses regarding the ability and likelihood of sport mega-events to deliver sustainable, tangible, and egalitarian development in the Global South, (4) as well as the propensity for sport-focused development initiatives to align with modernization and/or neo-liberal approaches and philosophy (5) that may fall short of challenging or redressing structural inequalities. The paper is concerned then with two main questions: One, is there a broader development agenda attached to Rio 2016 and what are its main components? Two, how were the development promises of Rio 2016 interpreted and constructed within the dominant commercial media and the international business community immediately following the announcement given that they continue to be important development power brokers? Taken together, these questions allowed for an analysis of the notions of development as espoused by the IOC and the Rio 2016 organizers, as well as a comparative analysis of these prospects for development as understood within the political economy. History and Theory The development challenges of Rio de Janeiro and Brazil are complex and firmly rooted in the country's history and politics. While a thorough overview of Brazilian political history is beyond the scope of this paper, some context is called for. An economic success in the 1960's and 70's with highly protected domestic markets, Brazil experienced significant social and political unrest and shocking inflation after the transfer from military to civilian government in 1985. …

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.106
GPT teacher head0.464
Teacher spread0.358 · 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 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

Citations2
Published2010
Admission routes1
Has abstractyes

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Same venueProceedings: International Symposium for Olympic ResearchSame topicSport and Mega-Event ImpactsFrench-language works237,207