The Transmutation of Visceral Desecration: Marginalizing Women, Murder and the Urban Environment Contextualized in Film
Bibliographic record
Abstract
This thesis is made up of a 35mm film, reinsertion, and a praxis paper that investigated my film processes and research, concerning the missing and murdered women of Vancouver. The catalyst was my experience living in a city in shock during the Pickton Trial. In 2007 Robert Pickton was charged with 26 counts of First Degree Murder. He was tried and found guilty for six out of a possible 26 murders that took place on his pig farm in Coquitlam. My goal was to create a film that positions the responsibility of the murders on the City of Vancouver, its police, City Hall and residents. My research focused on my personal experiences in the community and feminist discourse. Through the creation of an experimental film about the murders, I explored ideas such as authorship, experiential art and absence as representation. Simultaneously, the film subliminally communicates the trauma of the aforementioned women. This thesis pursues several key questions: Can a city be a sexual predator? Who has the right to tell a story? Can film emote without narrative? It concludes that a society, by inaction, can condone atrocities, that the stories we tell are inherently our own and that trauma can be communicated through subtle movements, gestures or objects.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.040 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".