The futures of entertainment dependent cities in a post-COVID world
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.
Bibliographic record
Abstract
Purpose The purpose of this study is to examine post-crisis (COVID) futures for major city destinations that are dependent on live entertainment and tourism. Destinations that live from entertainment and tourism must consider the implications of the pandemic and plan strategies for their future. Design/methodology/approach Based on the Manoa School of Future Studies, four scenarios were identified following a review of current literature. These scenarios (alternate futures) were then discussed in two videoconference focus groups by tourism marketing and entertainment expert professionals from five major North American entertainment cities. Findings Typical tourism responses to crises and disasters do not appear to apply to the current pandemic and entertainment-dependent destinations (EDDs) are not prepared to thrive in any of the potential outcomes. Originality/value This is the first study addressing the future of EDDs in a COVID world. This study cannot predict the future, but this study can make some forecasts. It is important for scholars and professionals to work together toward identifying what can be.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it