A Theoretical Comparison of the Economic Impact of Large and Small Events
Why this work is in the frame
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Bibliographic record
Abstract
In response to the increasing debate on the relative worth of small events compared to large events, we create a theoretical model to determine whether smaller events are more likely to create positive economic impact. First, event size and city size are redefined as continuums of resources. The concepts of event resource demand (ERD) and city resource supply (CRS) are introduced, allowing for a joint analysis of supply and demand. When local economic conditions are brought into the analysis, the framework determines how a city resource deficiency or surplus affects the economic impact of an event. This resource-based approach assists public officials and event organizers in making more rational decisions for hosting events when they pursue positive economic impacts. Specifically, we find small events have a higher potential for positive economic impact and hosting multiple smaller-sized events is a better strategy than hosting a big event.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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