The business effects of mega-sporting events on host cities: an empirical view
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
The study is an empirical view of the important issue of the business effects of the mega-sporting events (MSEs), like the Olympic Games, on which there are favorable and unfavorable views, the design of the study is to go through different views and find out the effects from knowing or knowledgeable persons of the event with the help of a sample of 155 respondents drawn randomly from across the continents in the form of opinions on the positive and negative effects of the MSEs through a questionnaire, containing questions on economic development, infrastructure development, environ¬ment, lifestyles, etc., and their favorable and unfavorable responses were elicited. The data collected have been analyzed in terms of the characteristics of respondents and their negative and positive responses on the Olympic and FIFA. The findings on the whole of study show that the hosting of the MSEs has positive effects on the economy and society of the host cities through the influx of tourists, infrastructure development, and image promotion of the country, among others, notwithstanding the certain drawbacks in terms of environmental disturbances, and some inconveniences to the locals.
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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