Bibliographic record
Abstract
Distributed by Film MovementProduced by Rey Aclao, Seán Devlin, and Arnel PabloDirected by Seán Devlin2023, Streaming, 101 mins Asog is a film that almost defies categorization. Residents of Sicogon Island reel from the aftereffects of Super Typhoon Hiyan. No trained actors were used for the film; scenes were mostly improvised, which leads to a realistic depiction of people documenting their lives after the typhoon. Part documentary, part drama, part comedy; Asog follows Rey “Jaya” Aclao, a transgender comedian who ventures out after losing their teaching job to go on a road trip to possible win money at a drag show. Along the way, Jaya meets people with specific stories of how their life was changed by the massive storm. Not only is death ever present, but environmental impact, displacement of ancestral lands and climate change are all touched on and make for a very compelling story. Enjoyable and entertaining. An interesting film from the Philippines. Suitable for those studying that part of the world, Philippine culture, or climate change. Adults would be able to understand the intricacies of the film better than those in grade school. Suitable for higher education and general viewing. Awards:Audience Award, Vancouver International Film Festival; Best Feature Film Critics Prize, Ibiza Cinema Fest; Best Film, Hawaii International Film Festival; Outstanding Screenwriting, L.A. Outfest; Frameline Completion Fund, Frameline International LGBTQ Film Festival
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.882 | 0.770 |
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".