TOURIST CHARACTERISTICS AND THEIR INTEREST IN ATTENDING FESTIVALS AND EVENTS: AN ANGLOPHONE/FRANCOPHONE CASE STUDY OF NEW BRUNSWICK, CANADA
Bibliographic record
Abstract
In 2001, the Province of New Brunswick, Canada, undertook a survey of 4990 tourists. Among those, 1101 (22%) were interested in participating in local festivals and special events. Using the data provided in this survey, the purpose of this article was to examine the other interests and travel motivations and behaviors of this group and to outline any differences between French- and English-speaking respondents. The proportion of Francophones interested in local festivals and special events was 19% compared with 23% for their Anglophone counterparts. With regards to travel behavior, both Francophones and Anglophones put ``customer service'' as their top priority. While there were differences in the motivation and behavior between the two groups, this was marginal. The article suggests that we require a greater understanding of tourists as attendees of festivals and events and that recognizing the cultural backgrounds of the audience is increasingly important.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".