Existential & Relational Considerations on End of Life in Canada
Bibliographic record
Abstract
End of life care in Canada has come to the attention of society's perception in the wake of COVID-19's destructive effects on end-of-life care spaces. In this thesis, I argue that the most suitable ethical framework for end-of-life care is a feminist relational approach, focusing on a positive account of relational autonomy. However, understanding how end of life care has reached its desperate state will also require an existentialist analysis. For this, I will draw from two lesser-known monographs by Simone de Beauvoir, The Coming of Age and The Ethics of Ambiguity, three key concepts -- reciprocal freedom, intersubjectivity, and ambiguity- to explain that Canadians have neglected our dying population via an obsession with control and the feeling that control is lost near the end of life. This is all to explicate how end of life care and perception of older people has reached its desperate and neglected state in Canada.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.043 | 0.027 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".