Introduction. Festivals, Uncut: Queering Film Festival Studies, Curating LGBTQ Film Festivals
Bibliographic record
Abstract
While scholars have theorized major film festivals, they have ignored smaller, ephemeral, events. In taking seriously minor European and North-American LGBTQ festivals which often only exist as traces within archival collections, this book revisits festival studies' methodological and theoretical apparatuses. As the first 'critique' of festival studies from within, LGBTQ Film Festivals argues that both festivals and queer film cultures are by definition ephemeral. The book is organized around two concepts: First, 'critical festival studies' examines the political project and disciplinary assumptions that structure festival research. Second, 'the festival as a method' pays attention to festivals' role as producers of knowledge: it argues that festivals are not mere objects of research but also actors already shaping academic, industrial, and popular cinematic knowledge. Drawing on the author's experience on the festival circuit, this book pays homage to the labour of queer organizers, critics, and scholars and opens up new avenues for festival research.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.006 |
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".