Residents' Perceptions of Convention Centers: A Distance Decay Analysis
Bibliographic record
Abstract
Public investment in convention centers represents a relatively common approach to stimulating economic development in many large cities throughout the world. The rationale is that metropolitan authorities can thereby attract business tourists and promote positive (business friendly) images of their locality. Although the economic dimension of such spending has received some attention, especially by consultants, there has been little theorizing or empirical research that has examined residents' perceptions of such development. This is in sharp contrast to examinations of resident perceptions of leisure tourism, which has witnessed extensive academic interest. This article analyzes residents' perceptions of the Busan Exhibition and Convention Centre in South Korea. Distance decay theories, geographic decay, and cognitive decay are used to inform the analysis. The findings indicate that increasing residents' engagement with, and knowledge of, convention centers is likely to engender positive perceptions of their impacts. It is suggested that urban policymakers in many parts of the world could learn from this study and should take residents' perceptions into account when financing and managing convention centers.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".