Bibliographic record
Abstract
This paper seeks to develop a deeper understanding of the role of policy-based reasoning in the determination of duty of care questions. In order to do this, the first part explores the distinction between considerations of interpersonal justice and considerations of community welfare in the determination of duty questions. While imperfect, the distinction illuminates the nature of the factors taken into account by courts in determining duty of care questions and has practical as well as theoretical implications. The second part of the paper analyses the respective roles of interpersonal justice considerations and community welfare considerations in a sample of first instance and intermediate appellate cases from England and Canada. That study suggests that community welfare considerations play a far less significant role in determining duty cases at the first instance and intermediate appellate level than at the ultimate appellate level. Analysis of the cases also reveals significant differences between the English and Canadian courts in their approaches to the interpersonal justice and community welfare aspects of duty of care questions.
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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 | 0.117 | 0.147 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.013 | 0.033 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.013 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".