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Record W7016068092

Understanding the Impacts of Festivals on Resident Attendees Before and During COVID-19: A First Look at the Vancouver Queer Film Festival

2021· article· en· W7016068092 on OpenAlexaboutno aff

Bibliographic record

VenueScholarworks (University of Massachusetts Amherst) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsQueerCoronavirus disease 2019 (COVID-19)Film festivalPandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
DOInot available

Abstract

fetched live from OpenAlex

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.274
Teacher spread0.229 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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