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Vancouver 2010

2025· book-chapter· en· W4414454788 on OpenAlexaboutno aff
Jules Boykoff

Bibliographic record

VenueUniversity of Illinois Press eBooks · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsDissentGrassrootsIndigenousSocial activismDirect actionCivil societyPublic opinion

Abstract

fetched live from OpenAlex

The 2010 Vancouver Winter Olympics galvanized an outburst of sustained dissent that challenged the purported benefits of the Games and illuminated the deleterious effects that the mega-event exerted on marginalized populations. While the <italic>Vancouver Sun</italic> described protesters as a collection of “whiner and grumble-bunnies,” the reality was much more complicated. A wide array of activist groups and individuals—from grassroots anarchists to civil-liberties organizations to tenured professors in local universities—teamed up to express their dissent and to mobilize public opinion against the Vancouver Olympics. First Nations activists emerged as vital leaders, with “No Olympics on Stolen Native Land” a central rallying call. Activists organized around three main issues: indigenous rights, economic factors, and civil liberties. This chapter describes the major activist actions that occurred before and during the Olympics and charts the central strategies and tactics that activists adopted. The author argues that rather than a “movement of movements,” Vancouver highlights how anti-Olympics activism tends to take a “moment of movements” formation whereby a collection of activist groups, many of which had not previously worked together in coalition, converged in an effort to challenge the five-ring juggernaut that rolled into their city.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.543
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.230
Teacher spread0.201 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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