Attracting and Leveraging Visitors at a Charity Cycling Event
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
Sport events are increasingly being recognized as integral to a destination's marketing strategy. Charity sport events are a type of event that can be leveraged by local businesses and destination marketers as a way of stimulating flow-on tourism, shaping an image and generating word of mouth. Yet, little research has been conducted in this area. Previous research has shown that length of stay in a destination and group composition can impact subsequent tourist behaviors. Thus, visitors' push and pull motivations and their influences on participants' choice of event and mode of participation (team versus individual) were assessed as a way of developing this line of research. The motives of supporting others, learning about the destination and cycling identity were predictive of event choice. Social motives and an identity tied to cycling predicted participants' mode of participation. Further, motives were distinguished between first-time and repeat visitors. First-time visitors were more motivated than repeat visitors by the physical aspects of the event and the opportunity to learn about the destination. Conversely, repeat visitors were more motivated by identities tied to the cause and the sport at hand than first-time visitors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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