Bibliographic record
Abstract
Eco-processing is a method of filmmaking that incorporates organic material into the photochemical filmmaking process. This method is taken up in experimental filmmaking to engage with the materiality of the film and has a history of being used as a means of making an artistic commentary on the degradation of the environment. Eco-processing presents various challenges to preservation due to its unconventional approach to standard photochemical filmmaking. Additionally, in the Canadian context these challenges are exacerbated by there being no evident repository to collect and preserve independent, experimental films. The impetus to address the lack of infrastructure for preserving eco-processed films in Canada lies in these films' artistic and historical documentation of our geological age. By examining the information sharing networks within which experimental processes such as eco-processing flourish and archival models that emphasize living, active approaches to filmmaking, this MRP aims to demonstrate the possibilities of questioning standardization and prioritizing practitioner perspectives in film preservation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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 teacher head, 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".