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Record W4254576842 · doi:10.4324/9780203121337

Host Cities and the Olympics

2012· book· en· W4254576842 on OpenAlexaffabout
Harry H. Hiller

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHost (biology)GeographyBiologyEcology

Abstract

fetched live from OpenAlex

Rather than interpreting the Olympics as primarily a sporting event of international or national significance, this book understands the Games as a civic project for the host city that serves as a catalyst for a variety of urban interests over a period of many years from the bidding phase through the event itself. Traditional Olympic studies have tended to examine the Games from an outsider's perspective or as something experienced through the print media or television. In contrast, the focus presented here is on the dynamics within the host city understood as a community of interacting individuals who encounter the Games in a variety of ways through support, opposition, or even indifference but who have a profound influence on the outcome of the Games as actors and players in the Olympics as a drama. Adopting a symbolic interactionist approach, the book offers a new interpretive model through which to understand the Olympic Games by exploring the relationship between the Games and residents of the host city. Key analytical concepts such as framing, dramaturgy, the public realm, and the symbolic field are introduced and illustrated through empirical research from the Vancouver 2010 Winter Games, and it is shown how social media and shifts in public opinion reflected interaction effects within the city. By filling a clear lacuna in the Olympic Studies canon, this book is important reading for anybody with an interest in the sociology of sport, urban studies, event studies or urban sociology.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.286
Teacher spread0.255 · 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

Citations30
Published2012
Admission routes2
Has abstractyes

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