Socio-Economic Impacts Associated with the Introduction of Casino Gambling: A Literature Review and Synthesis
Notice bibliographique
Résumé
Gambling in Deadwood is responsible for increasing recreational visits and spending, generating nearly 1,800 new jobs in the town and surrounding communities, and boosting tax revenues. Increased tax and business revenues paid for infrastructure improvements and historic preservation that has brought back much of the 1890s Victorian look of the town. Gaming caused the loss of some retail activity and generated parking shortages and traffic congestion, but, overall, it has helped to preserve an important historical landmark and to revitalize the local economy. URL: http://www.ers.usda.gov/publications/rdp/rdp296/rdp296c.pdf Reference Type: Report Record Number: 202 Author: Adams, P.; Rossen, F.; Perese, L.; Townsend, S.; Brown, R.; Brown, P.; Garland, J. Year: 2004 Title: Gambling impact assessment for seven Auckland territorial authorities City: Auckland, New Zealand Institution: Centre for Gambling Studies, University of Auckland Abstract: The following report was commissioned by the seven territorial authorities within the Auckland region to inform the development of their local gambling venue policies required by the recently passed Gambling Act 2003. Under this new Act territorial authorities have specific responsibilities in relation to consents for Class 4 gambling venues, i.e. local venues providing either electronic gambling machines (EGMs) or race or sports betting. Prior to drafting their gambling venue policies, the Act requires territorial authorities to conduct an assessment of the social impacts of gambling on their communities. The report acknowledges the absence of organised systems for territorial authorities to monitor gambling behaviour and its impact within their districts. Using the best available information, a data collection framework has been constructed that identifies key indicators broken into social, economic, cultural and environmental impacts. Since the processes for collecting information for these indicators have yet to be developed, it is anticipated that this framework could provide a base for territorial authorities in future community impact assessment. The report sets out to collect information from sources that are currently available. It summarises local and international literature on the impact of gambling on communities. It collates information from databases on population characteristics, the allocation of community benefit funds by the six main National Gambling Machine Trusts (NGMTs), and trends in help-seeking for problem gambling within each territorial authority district. It also summarises a series of stakeholder workshops, which sought public views on the future role of territorial authorities with respect to Class 4 gambling. URL: http://www.gamblingstudies.co.nz/res_pdfs.html Reference Type: Report Record Number: 168 Author: Alcohol and Gaming Authority Year: 1999 Title: Annual Gaming Report 1998-1999 Volume 1 City: Dartmouth, NS Institution: Alcohol and Gaming Authority Call Number: UofL Main Collection HV 6722 C33 N693 1997/98 v. 1 Abstract: This report is divided into six chapters. In the Introduction (Chapter 1), the reader is provided with an overview of the past year, information about the Provinces gaming industry and about the Authority. This chapter also includes a progress report on the status of recommendations included in the Authoritys 1997/98 Annual Report. Chapter 2 provides a financial breakdown of the business of gaming, including an analysis of each type of legal activity in Nova Scotia. In Chapters 3 and 4, the Authority gets to the heart of its research mandate; presenting an analysis of studies assessing the publics interests, attitudes and reactions to gaming activities in the Province and assessments of the social, health, justice, economic and environmental effects of gaming in Nova Scotia, respectively. Chapter 5 contains an overview of gaming trends in other jurisdictions and of issues impacting on the industry. Chapter 6 sets out
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,016 | 0,021 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».