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Resident Impacts for Queer Film Festivals: Assessing Benefits And Loyalty in Vancouver, British Columbia, Canada

2021· article· en· W3195716099 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 · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsQueerAttendanceLesbianSociologyTourismLoyaltyPublic relationsGender studiesPolitical scienceMarketingBusiness

Abstract

fetched live from OpenAlex

Within tourism and hospitality, research and focus on the festival and event industry has been increasing. However, research on smaller art and culture festivals has been lagging. Small to medium-sized art and culture festivals and events are key contributors to society and impact well-being for local communities, resident attendees, and tourist attendees. More specifically, queer film festivals are experiencing a rapid increase in both quantity of festivals worldwide and total attendance at festivals in recent years. These festivals, which celebrate LGBT2Q+ (Lesbian, Gay, Bisexual, Trans, Two-Spirit, Queer, and additional identities) people and communities, have a key place as history makers, storytellers, and community gathering places within the LGBT2Q+ community. The current research examined the diversity of attendees at the 31st annual Vancouver Queer Film Festival (VQFF) in 2019. VQFF is an initiative of Out on Screen, a LGBT2Q+-oriented organization based in Vancouver. The 31st edition of VQFF in 2019 attracted nearly 10,000 people over the 100+ film screening sessions during the 11-day festival. An examination of sociocultural impacts of VQFF on the local community and resident attendees' expectation for future programming was completed using a 54-question Qualtrics survey. Questions were asked about future programming, community benefits, subjective well-being, cultural/educational impacts, and demographics. With a sample size of 362, a structural equation modeling analysis showed a direct relationship between cultural/educational benefits, community benefits, and subjective well-being. In addition, community benefits and subjective well-being contributed positively to loyalty with an indirect connection between cultural/ educational benefits and loyalty. Regarding future programming, respondents had higher interest for art and cultural-related programming as opposed to education-related activities. Implications for industry and researchers as well as future research areas are discussed.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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