Construction and Comparison of a Correlation Model on the Marketing Effect of Cultural and Creative Landmarks on Regional Tourism Development
Bibliographic record
Abstract
The marketing of cultural and creative landmarks has become important ever since it has been associated with the connection between regional development and people’s needs, thus making it is an urgent issue of regional tourism sustainability. From Taipei, Taichung, and Kaohsiung of Taiwan, this study respectively selects one cultural and creative landmark that represents the city as the targets and explores tourists who have visited any of these landmarks in order to analyze the effects of characteristics, surroundings, and marketing activities of cultural and creative landmarks on the public’s perceived value and regional attraction. It also constructs a correlation model. After analyzing 578 valid questionnaires, this study realizes that surroundings are the most critical factor influencing people’s perceived value of cultural and creative landmarks and enhance a regional attraction; the second most critical factor is the effect of landmark characteristics. However, the impact of marketing activities is insignificant. It shows that people’ perception of the marketing activities of cultural and creative landmarks is low. Therefore, in the future the marketing activities of cultural and creative landmarks should come from the aspect of improvement.
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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 | 0.012 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".