Disappropriations = Desapropiaciones
Bibliographic record
Abstract
DISAPPROPRIATIONS is a conceptual and practical reflection on online digital archives in particular, and on found footage filmmaking in general. It entails a series of 11 video artifacts exhibited online and “on-site” through QR-code stickers spread throughout the city of Montreal. My main objective has been to investigate and instigate a dialectical montage as defined by Eisenstein, in the hyper-reality of the social, as defined by Jean Baudrillard.<br>Secondly, I explore and promote a radically experimental use of editing (as digital assemblage and manipulation of moving images) with regards to digital based media. Although inscribed into the tradition of found footage film, DISAPPROPRIATIONS is a search for an archival practice that embraces cyberspace as a source of content and also as an aesthetical domain. Last but not least, this project is fundamentally the result of an intense reflection upon my past, present, and future film practice and the creative embodiment of three years’ research done within the MFA programme.
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 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 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".