Epistemic Injustice Expanded: A Feminist, Animal Studies Approach
Bibliographic record
Abstract
Between the years of 1978 and 2002, over sixty women went missing from Vancouver's Downtown Eastside (DTES).After years of unanswered questions and failed attempts to draw police and public attention to the missing women, in 2007, Robert Pickton was charged with the murder of nearly thirty 9 of these women (although he boasted to an undercover officer that he killed forty-nine). 101112 Despite the missing women's families' protest and repeated attempts to file missing person reports, the women's disappearances -and especially the idea that they were being killed -were met with widespread apathy and skepticism.This may strike many as an unremarkable fact.After all, police investigations can be difficult.Yet when one considers that these women were street-level sex workers, many of them drug users and about a third of them Aboriginal, their story begins to take a different tone.One politician asked: "Do you think if 65 women went missing from Kerrisdale [an affluent
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.064 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".