Bibliographic record
Abstract
An organ donation is a matter of life and death in the most literal sense, meaning the Trillium Gift of Life Organ Donation Network, the regulatory body for organ donations in Ontario, is aptly named. In December of 2017, Delilah Saunders, an Inuk activist for the rights of missing and murdered Indigenous women and girls, went into acute liver failure and was refused a spot on their waiting list. What was the reason the Trillium network cited in refusing Ms. Saunders? She had failed to meet the requirement of a prior sixth-month period of sobriety, a sixth month period wherein she had also been called to testify on the 2014 murder of her sister Loretta at the National Inquiry on Murdered and Missing Indigenous Women and Girls. The refusal gained national media attention and sparked furious debate, especially regarding the larger issue of the discriminatory experiences of Indigenous women in the Canadian health system. This paper argues that the policy that led to the decision to refuse Delilah Saunders a liver transplant, when analyzed through the intersecting lenses of gender and settler-colonialism, displays the continued commitment of Canada to the settler-colonial logic of elimination, especially regarding Indigenous women.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".