Understanding the Impacts of Festivals on Resident Attendees Before and During COVID-19: A First Look at the Vancouver Queer Film Festival
Bibliographic record
Abstract
Although festivals and events have been identified as a growth segment within tourism, smaller cultural festivals have received much less attention. These smaller cultural festivals aim to bring cultural contributions and increased well-being to attendees and the host community in addition to their economic value. More specifically, queer film festivals have increased in number and size within the last decade and have an important history and purpose within the LGBT2Q+ community. As such, the current study investigated the attendees of the 2019 & 2020 Vancouver Queer Film Festival (VQFF), Western Canada’s largest queer film festival. The survey instrument asked attendees questions about subjective well-being, cultural/educational impacts, community benefits, future programming, and demographics. Preliminary results comparing demographic, behavioural, perceived benefit, and outcome characteristics between the 2019 in-person version and the 2020 virtual pandemic version of VQFF are discussed. Industry and academic implications and areas for future study are also considered.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".