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Record W2025442738 · doi:10.4018/ijsesd.2015040106

Sport Tourism and the Discourse of Social Cohesion at the World Pond Hockey Championship Event

2015· article· en· W2025442738 on OpenAlexaffabout
Mark Douglas Lowes, Cory Awde

Bibliographic record

VenueInternational Journal of Social Ecology and Sustainable Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChampionshipCohesion (chemistry)TourismWorld championshipCommunity cohesionGroup cohesivenessSociologyAdvertisingPublic relationsSocial psychologyPolitical sciencePsychologyBusinessLaw

Abstract

fetched live from OpenAlex

Canada's World Pond Hockey Championship (WPHC) event is examined to show how the concept “social cohesion” functions as a discourse through which athletes, organizers and local residents articulate their experience of the event. No attempt is made to measure levels of social cohesion in the study community as an empirical fact. Instead, the authors' objective is to show how a distinctive community has been created around this sport-based tourism event, one with its own particular discourse of social cohesion. The authors' analysis is based on data collected through non-participant observation and dozens of semi-structured and unstructured interviews at the 2007 World Pond Hockey Championship event and through supplementary interviews and document analysis (press coverage, printed tourism promotional materials) activities conducted over the following four years, until mid-2011. the authors' findings show how a distinctive social community has been created around this sport-based tourism event, one with its own particular discourse of social cohesion.

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)0.003
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.998

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.023
Scholarly communication0.0100.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.330
Teacher spread0.311 · 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
Published2015
Admission routes2
Has abstractyes

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Same venueInternational Journal of Social Ecology and Sustainable DevelopmentSame topicSport and Mega-Event ImpactsFrench-language works237,207