Dying under the living sky: a case study of interracial violence in southeast Saskatchewan
Bibliographic record
Abstract
On August 15, 1992, William Dove, an elderly retiree, left his cottage at the Round Lake resort in southeast Saskatchewan to assist three individuals fix flat tires on their truck. Dove never returned home. The following morning, his burning vehicle was discovered in a field near the city of Regina, Saskatchewan while his badly beaten body was found in a separate area on the east side of the city. Three individuals were charged with his murder; David Myles Acoose, Hubert Cory Acoose and a young offender. Dove was a white senior citizen from Whitewood, Saskatchewan: his assailants were Natives from the Sakimay First Nation, just west of Round Lake. In the aftermath of Dove’s death and the trial, which ultimately found all three guilty of manslaughter, the public attempted to make sense of a crime that appeared senseless. In my research, I reject the idea that the crime was committed out of a lack of judgement and a deficit of morality alone, but I argue instead that it has to be understood within the context of colonialism. In contextualizing this violent encounter, a layered understanding of the murder surfaces and it becomes clear how colonial history within the region played a significant role in the enactment of violence. The findings of this research are based upon a discursive examination of actual court transcripts, postcolonial critical theory, and historical examination.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.034 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".