Bibliographic record
Abstract
A 1940s silent instructional film damaged by water shows different bee-keeping activities and how to make honey. The film illustrates how to work with the popular "movable frames" beehive. The idea of "movable frames" plus the damage on the edges of the film, were combined to make a film that also shows good filmmaking practices. It alludes to the disappearance of (16mm) celluloid film and it illustrates the fragile state our film patrimony is in, especially many overlooked educational and industrial films and other orphan films (hence the reference to B-Films). The damaged patches and blotches at the edge of the film (included because I transferred the film with the largest probable frame setting, so that the sprocket holes were also included) create a vibrant visual pattern that adds extra rhythm to the images. This part of the film was also recorded through the optical sound-track reader of the film projector, and it serves as the film's main sound track. This rhythmical sound created by the film damage, is combined with recorded sounds of bees and other field sounds, as well as some melodies from the film Alien to create more drama and other sound effects. The inserted images about how to treat film and how to make super-8 films, are taken from the fabulous Prelinger Archive. I found silent German film in 1999 in a room full of damaged film prints of the National Film Institute in Maputo (Mozambique). Fabulous Festival of Fringe Film (Durham, Ontario). Docula (Halifax, Nova Scotia) Cine-Oculta (Buenos Aires, Brazil) (2022) Pleasure Dome & Inter Access Gallery (Toronto, Ontario) (2011)
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.524 | 0.281 |
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".