Resident Impacts for Queer Film Festivals: Assessing Benefits And Loyalty in Vancouver, British Columbia, Canada
Bibliographic record
Abstract
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.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".