A motivation-based typology for natural event attendees
Bibliographic record
Abstract
Little research has been undertaken on the push and pull motives of attendees who travel to witness the natural phenomenon of the Salute to the Sockeye Festival held in British Columbia, Canada, celebrating one of the largest salmon runs, a water-based natural event, in the world. While numerous studies have focused on the motives of visitors to other events as well as to nature-based destinations we identified the said motives of these attendees and segmented the markets according to their motives. The results confirmed that attendees to natural events have a variety of motives for their trip and that segmenting visitors based on their motivations is a useful market segmentation tool as it provides a definitive profile and understanding of different types of visitors and their viewing preferences. The findings furthermore challenge the results of existing research findings that tourists are motivated by the need to escape from their everyday environment. Rather, attendees travelling to witness natural events are motivated by the specialness of the event i.e. the natural phenomenon and their appreciation of it. The findings enabled us to provide strategic insights for marketing and managing the salmon run viewing experience and similar natural events, according to the preferences of specific market segments. These strategies may be used by event organisers to ensure repeat visits, a memorable viewing experience and a greater appreciation of the natural wonder.
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How this classification was reachedexpand
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 | 0.007 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".