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Record W7096697207

International Olympic Resistance: Thinking Globally, Acting Locally

2014· article· en· W7096697207 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsDissentResistance (ecology)GrassrootsPoliticsCharterNexus (standard)
DOInot available

Abstract

fetched live from OpenAlex

In keeping with the theme of this conference, The Global Nexus Engaged, this paper will examine Olympic resistance, paying particular attention to two related premises: 1. that resistance to the Olympic industry is global; and 2. that anti-globalization and anti-Olympic protesters are working together to target corporate sponsors and orga-nizers of the Olympic Games. Olympic resistance Despite the suppression of political dissent required by Rule 61 of the Olympic Charter and the host city contract, and despite the necessary illusion of unqualified local support on the part of bid and host cities, various forms of Olympic resistance can be found in every recent bid city, as well as numerous past, present, and future host cities (with the possible exception of Beijing, where suppression of dissent appears to be the norm). With the terms of debate firmly established by Olympic boosters and their public relations consultants in the early days of the bid process, community-based critics have often found themselves in a "David vs. Goliath " predicament in terms of media expo-sure and public response. Despite the obstacles, grassroots organizations, such as the Toronto Bread Not Circuses Coalition, which opposed Toronto's bids for the 1996 and the 2008 Olympics, and the Berlin group, which opposed that city's 2000 bid, were able to focus some public debate on the potentially negative economic and social impact issues and played an important role in the defeat

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)0.015
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0140.046
Scholarly communication0.0400.029
Open science0.0030.019
Research integrity0.0080.018
Insufficient payload (model declined to judge)0.0160.003

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 head0.021
GPT teacher head0.317
Teacher spread0.296 · 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 designQualitative
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

Citations0
Published2014
Admission routes1
Has abstractyes

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