What Makes a Person Liable to Defensive Harm?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On Jeff McMahan's influential ‘responsibility account’ of moral liability to defensive killing, one can forfeit one's right not be killed by engaging in an ordinary, morally permissible risk‐imposing activity, such as driving a car. If, through no fault of hers, a driver's car veers out of control and toward a pedestrian, the account deems it no violation of the driver's right to save the pedestrian's life at the expense of the driver's life. Many critics reject the responsibility account on the grounds that, first, it has draconian implications for threateners like the driver, and second, it contravenes the plausible principle that wronging one's victim is necessary for forfeiting one's rights. But I argue, drawing on the account's luck‐egalitarian underpinnings, that (1) the account lacks the draconian implications widely attributed to it, and (2) contrary to what many assume, wrongdoing is unnecessary for rights‐forfeiture. Via these arguments, I seek both to deepen our understanding of the responsibility account, and to reissue it in a more plausible and attractive form.
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.
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 | 0.001 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it