Pushing the Margins of Responsibility: Lessons from Parks’ Somnambulistic Killing
Bibliographic record
Abstract
David Shoemaker has claimed that a binary approach to moral responsibility leaves out something important, namely instances of marginal agency, cases where agents seem to be eligible for some responsibility responses but not others. In this paper we endorse and extend Shoemaker’s approach by presenting and discussing one more case of marginal agency not yet covered by Shoemaker or in the other literature on moral responsibility. Our case is that of Kenneth Parks, a Canadian man who drove a long way to his mother-in-law’s and killed her in a state of somnambulism. We support our claim about Parks’ marginal responsibility in three steps: we first deny that Parks acts involuntarily as traditionally claimed in the legal literature; we then propose to extend Shoemaker’s analysis of marginal responsibility based on quality of will so as to include two other dimensions: the moral status of the agent and the actual causal effects of their actions; finally, we distinguish Parks’ marginal responsibility from four other existing concepts: “tracing” (drunken cases), diminished responsibility (minor mental disorders), causal responsibility (Williams’ unlucky lorry driver), and moral disapproval without responsibility (bad actions by small children, animals, or machines).
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.036 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| 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".