Socio-Economic Impacts Associated with the Introduction of Casino Gambling: A Literature Review and Synthesis
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.016 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".