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Record W2145980151 · doi:10.1504/gber.2010.032316

First Nations gaming in Saskatchewan: fostering entrepreneurship, economic diversification, cultural preservation and awareness: a proposed research agenda

2010· article· en· W2145980151 on OpenAlex
Bob Kayseas, Bettina Schneider, Jo anne Goodpipe

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGlobal Business and Economics Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsFirst Nations University of Canada
Fundersnot available
KeywordsDiversification (marketing strategy)EntrepreneurshipIndigenousRevenueEconomic growthInvestment (military)BusinessEconomicsPolitical scienceMarketingFinance

Abstract

fetched live from OpenAlex

While gaming operations are on the rise in Canada, the actual impact of gaming revenues on the economic development of Canadian First Nations is an area of research that is currently lacking. The primary objective of this paper is to develop a research agenda for the investigation of the impact of the gaming industry on the economic development of Saskatchewan's First Nations. A secondary objective of this paper is to explore the maintenance and strengthening of Indigenous cultures through the strategic investment of revenues obtained from gaming activities. If culture and tradition do indeed play a 'critical role' in the pursuit of economic wealth by Indigenous populations, our paper examines the importance of cultural development, as indicated by the investments made to specific sectors by Saskatchewan bands through the money distributed by First Nations Trust, as First Nations pursue development through economic diversification and entrepreneurship.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.083
GPT teacher head0.329
Teacher spread0.246 · 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