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Record W2007596155 · doi:10.2167/cit263.0

Developing Local Citizenship through Sporting Events: Balancing Community Involvement and Tourism Development

2006· article· en· W2007596155 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Issues in Tourism · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTourismCitizenshipBusinessCommunity developmentPolitical sciencePublic relationsMarketingEconomic growthEconomicsPolitics

Abstract

fetched live from OpenAlex

Cities throughout the world have struggled to remain competitive in an era of globalisation and devolution. As a result, many have turned to tourism-related activities, such as hosting sporting events or mega-events, as part of development strategies (Hall, 1992). Within this context, questions of how these short-lived events affect resident and nonresident identities have been raised. In essence, questions of citizenship, community, and identity have become central with the on-going use of itinerant tourism strategies. Lepofsky and Fraser (2003) reasoned that community citizenship can no longer be viewed as a static concept, where rights to local citizenship are guaranteed by virtue of residential status. They propose the notion of flexible citizenship, where residents and nonresidents alike determine their level of citizenship by their ability to negotiate their contributions within the community. This paper uses this conceptualisation of citizenship to explore how community involvement in the hosting of sporting events – by organising, watching, or participating in an event – affects notions of community citizenship, and how these newly articulated citizenships affect tourism development.

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.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.076
GPT teacher head0.366
Teacher spread0.290 · 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