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Record W2055388493 · doi:10.1080/19368620902950071

The Role of Personal Values in Determining Tourist Motivations: An Application to the Winnipeg Fringe Theatre Festival, a Cultural Special Event

2009· article· en· W2055388493 on OpenAlexaffabout
Kyle M. Woosnam, Kerry E. McElroy, Christine M. Van Winkle

Bibliographic record

VenueJournal of Hospitality Marketing & Management · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTourismContext (archaeology)PsychologyVariance (accounting)AdvertisingSocial psychologyGeography

Abstract

fetched live from OpenAlex

While research surrounding festivals and special events has examined concepts of individuals' personal values and motivations for attending, studies focusing on both are lacking. Using the Winnipeg Fringe Theatre Festival in Manitoba, Canada as the context, the purpose of this article is to examine the relationship between personal values and motivations for attending the festival. More specifically the work had two primary research questions: First, what are the dominant tourist values and tourist motivations for visitors to the Winnipeg Fringe Festival? Second, what is the relationship between visitors' values and their motivations for attending the festival? Treating the top five motivation items as separate dependent variables, a series of stepwise regression analyses were conducted. The nine personal value items explained at most, 13% of the variance in the five motivation items. Belonging explained the most variance across the five regression analyses. Implications for the festival as well as future research endeavors are highlighted.

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.

How this classification was reachedexpand

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.012
GPT teacher head0.307
Teacher spread0.296 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations52
Published2009
Admission routes2
Has abstractyes

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