Factors Affecting Repeat Visitation and Flow-on Tourism as Sources of Event Strategy Sustainability
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 sustainability of including medium sized one-time sport events in an event portfolio is examined with reference to the capacity of one such event to stimulate flow-on tourism (i.e. tourism activities beyond the event but around the time of the event), a desire to return to the destination, and positive word-of-mouth. Relationships among four motives (socialising, escape, learning about the destination, and learning about athletics), identification with the event (self and social identity), previous visitation to the host destination, information search, tourism activities, and likelihood of recommending and/or returning to the host destination were examined for four categories of attendees at the Pan American Junior Athletics Championships: primary purpose spectators, casual spectators, athletes, and non-athlete participants. All four categories of attendee engaged in some information search and participated in flow-on tourism, but to a low degree. Information search fostered flow-on tourism. Classic tourism activities (e.g. sightseeing, visiting museums) were motivated by a desire to learn about the destination, and encouraged future visitation and likelihood of recommendation. It is concluded that medium-sized one-time sport events can play a sustainable role in event portfolios, but their efficacy requires greater integration of destination experiences with the event. It is suggested that future work should examine the means to cultivate that integration, including creation of more effective alliances between destination marketers and event organizers.
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 | 0.000 | 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