The Religious Beliefs of Tort Victims: Religious Thin Skulls or Failures of Mitigation?
Bibliographic record
Abstract
A Jehovah’s Witness suffers severe injuries in an automobile accident, and these injuries result from another person’s negligent driving. The victim refuses to accept standard medical treatment, which includes blood transfusions. Had she accepted standard treatment, the victim would have been returned to a near normal life. As a result of her decision, she now faces the prospect of life in a wheel-chair. Should the tortfeasor be held liable for the additional damages that result from the victim’s religious decision, or should the victim’s religious choice be treated as a failure of reasonable mitigation? I support the former option, arguing that the thin skull rule should be extended to include religious choices such as the refusal of blood transfusions. Our constitutional commitments to religious freedom and equality require us to treat these choices as reasonable ones, and this supports the notion of religious thin skulls. The argument provided here fits neatly with the structure of tort, and with the major Canadian precedents regarding the evaluation of victim behaviour.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".