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Enregistrement W228995765

Leveraging the 2010 Olympic Games: 'Sustainability' in a City of Vancouver Initiative

2010· article· en· W228995765 sur OpenAlexaboutno aff
Rob VanWynsberghe, Elizabeth Maurer, Inge Derom

Notice bibliographique

RevueProceedings: International Symposium for Olympic Research · 2010
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSport and Mega-Event Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)TourismValue (mathematics)Public relationsSustainabilitySocial mediaScale (ratio)BusinessMarketingAdvertisingPolitical scienceGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background Where once the value of hosting sports mega-events like the Olympics was assumed, scholars, activists, media, politicians and the general public have all questioned if hosting an Olympics or other sporting mega-event is worth it. Often these same stakeholders call for cost-benefit analyses to determine whether the economic output involved in hosting is matched or exceeded by the environmental or social costs engenders. Asking if hosting the Olympic Games is worth it demands data that measures change in the host context before, during, and after the Games. For example, does air quality change? Do more tourist dollars come in? Do perceptions of people with disabilities change? Do the levels of people taking public transit increase, and does this increase last beyond the event? In addressing these questions, one can measure the impacts of building Games-time infrastructure, generating new local transportation systems, pulling in tourists (while scaring off others), and exposing potential investors to the host city; then, this line of thinking suggests, one can answer whether the Games were worth it or not. In 2009, the Olympic Games Impact (OGI) research team at the University of British Columbia conducted a large-scale pre-Games evaluation of the 2010 Games asking questions like those above. OGI is an International Olympic Committee initiative whose overall purpose is to gather information on economic, environmental, and social data on 126 prescribed indicators that measure changes in the host region (e.g., venues, tourists, media, housing, protest) and whether any changes may be attributed to the Games or not. OGI evaluates these changes against a sustainability standard. Data for each of the variables that comprise the individual indicators are sought at multiple scales (e.g., municipal, regional, provincial, and national). OGI has a twelve-year reporting period, starting two years before the awarding of the bid (2001 in Vancouver) and ending three years after the event (201 3 in Vancouver) to conduct four reports (e.g., a baseline, pre-Games, Game-time, and post-Games). Multiple reports enable the comparison of individual indicators across the pre-Games, Games-time, and post-Games state to determine changes and trends in the indicators. Attuned to the theoretical and methodological literature on sporting mega-events, leveraging, and sustainability, (1) the implications included the observation that government investments in the host context were likely to effect Games impacts. The pre-Games research analyzed government initiatives that were newly created, modified, or fast-tracked to take advantage of 2010 Games. (2) Fifty initiatives from governments that were part of the Olympic bid (municipal, regional, provincial, and federal) were identified up to February 2009 in the lead-up to the 2010 Games events. (3) OGI findings from these initiatives confirmed the effort by host governments to develop what appeared to be a long-term, planned, and coordinated approach to leveraging the Games. In addition, the OGI research team determined that impact-inducing activities appeared to begin years before the Games, going back to when the decision to bid is made. Mindful of the IOC's desire to employ OGI and other means to promote sustainability, the pre-Games report also suggests that the initiatives can be categorized as oriented towards sustainability. The implications are that hosting sports mega-events, rather than simply representing a list of processes necessary to hosting that cause measurable impacts, may also leverage desired benefits such as public policy implementing new curricula, community programs, demonstration projects, or marketing efforts that leverage the Games to move society toward greater sustainability. The authors of the current study will investigate how leveraging proceeded in the city of Vancouver immediately preceding and following the 2010 Olympic Games, by analyzing a case of how the City of Vancouver leveraged the 2010 Winter Olympic Games. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,058
Score d'incertitude au seuil0,221

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0130,004
Communication savante0,0090,001
Science ouverte0,0010,005
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,085
Tête enseignante GPT0,413
Écart entre enseignants0,327 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2010
Routes d'admission1
Résumé présentoui

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