Bibliographic record
Abstract
Distributed by Bullfrog Films, PO Box 149, Oley, PA 19547; 800-543-FROG (3764)Produced by Joel Penner and Anna SigrithurDirected by Joel Penner and Anna Sigrithur2022, Streaming, 22 mins Wrought is a visually stunning short film composed of timelapse video of organic decomposition. It explores various aspects of decomposition, breaking the film into the categories “spoil,” “ferment,” “compost” and “wrought.” In these broad categories, Wrought shows detailed imagery of food spoilage, fermentation, rotting animal corpses and growing fungi, highlighting decay by fungi bacteria and insects. Wrought is composed of close-up shots on black background, giving the viewer an unflinching view of decay. Many shots show a cross sectional view, filling the screen with the minute details of decomposition. Images are accompanied by a poetic voice over that philosophically contemplates organic decay. The film tries to challenge viewers' perception of decay by showing it in tantalizing detail, inviting the viewer to stare in grotesque fascination. The combination of intense, sometimes squeamish, imagery with florid narration makes for an interesting short film. Unfortunately, these stylistic choices hinder the film’s utility as an educational tool. The flowery narration uses vague language to talk about organic decay and does not provide enough real information about the imagery on screen to be essential viewing in a classroom setting. As Wrought is very short (22 minutes), it may be useful to show to Microbiology or Food Science courses, but those looking for a film with scientific information should look elsewhere. Wrought’s mesmerizing imagery makes it recommended for all audiences. While it is recommended for academic audiences interested in detailed visual representations of decomposition, it is lacking the scientific information needed for most classroom applications. Awards:Best New Vision Film, International Wildlife Film Festival; Emerging Filmmaker Award, Yorkton Film Festival; Avant-Garde Award, Imagine Science Film Festival; Best Overall Film & Audience Award, Fungi Film Festival; Audience Award, Vox Popular Media Arts Festival; Best Overall Film, Eating at the Edges Film Festival; Best Short Documentary, Naturvision; Best Experimental/Animation, SCINEMA International Science Film Festival; Best Short Documentary, Ecozine 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.857 | 0.577 |
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".