The 'New Buffalo' Confronts a Pandemic: Implications of the COVID-19 Shock for the Indigenous Gaming Industry
Bibliographic record
Abstract
The COVID-19 pandemic is an economic shock that affects both the supply of and demand for goods and services. These effects are particularly profound in the hospitality and leisure sector, which includes the gaming industry. COVID-19 therefore has the potential to result in lasting damage to localities that depend on gaming revenues. For Indigenous gaming communities, the stakes are especially high. The Indigenous casino and gaming industry has been characterized as the coming of the “new buffalo,” a trope that alludes to the high levels of wealth enjoyed by bison-reliant communities in the Great Plains. Indeed, Indigenous gaming has been a valuable engine of economic growth for many communities across North America, but COVID-19 reveals this economic success to be a double-edged sword. The COVID-19 shock is now threatening to undermine an industry that has come to play a critical role in the physical and financial health of Indigenous gaming communities as well as in their capacity to exercise their right to self-determination.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".