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Record W1485983840 · doi:10.3727/1525995031436863

TOURIST CHARACTERISTICS AND THEIR INTEREST IN ATTENDING FESTIVALS AND EVENTS: AN ANGLOPHONE/FRANCOPHONE CASE STUDY OF NEW BRUNSWICK, CANADA

2004· article· en· W1485983840 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEvent Management · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsTourismFrenchService (business)Cultural tourismAdvertisingMarketingSociologyGeographyPublic relationsPolitical scienceBusinessTourism geography

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.237
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it