Bibliographic record
Abstract
This project examines a Canadian court case that involves the largest arson homicide in the history of Vancouver, British Columbia. In May 2006 a fire killed four members of a Congolese refugee family (Adela Etibako and three of her children, Benedicta, Edita, and Stephane) along with Ashley Singh, the South Asian girlfriend of the target and sole survivor of the fire, Bolingo Etibako. On October 5, 2008 the accused, Nathan Fry, a 20-year-old white male, was found guilty of five counts of first-degree murder and one count of attempted murder. Fry received an automatic life sentence without the possibility of parole for 25 years. This paper considers this crime and the legal proceedings as a case study that can further our understanding of discourses of race, racism, and citizenship in Canada, and their link to Mbembe’s (2003) notion of necropolitics, what he terms as the politics of life and death. I argue that the viciousness of the crime, an offense involving a white male perpetrator and victims all of whom are racialized as Black and Brown, reflects the embodied practices and psychological processes that are both emblematic of, and integral to, the violence of coloniality, and the racial relations and structural arrangements of present-day white settler society (Martinot, 2010; Razack, 2002, 2005). I show how the crime, the investigation, and the trial communicate symbolically and materially what bell hooks (1992) characterizes as the “terrorizing force of white supremacy” (p. 344).
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.059 | 0.050 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.009 |
| 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".