Moral Responsibility and Psychopathy: Why We Do Not Have Special Obligations to the Psychopath
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
Addressing concerns about the treatment of psychopaths, Grant Gillett and Flora Huang (2013) argue that we ought to accept a relational or holistic view of psychopathy and APSD rather than the default biomedical-deficit model since the latter “obscures moral truths about the psychopath”. This change in approach to the psychopath will both mitigate at least some of their moral responsibility for the harms they cause, and force communities to incur special obligations, so they claim, because the harms endured by psychopaths will be understood as part of the cause for the harms they are guilty of committing. However, as I will argue, even if we accept that a relational or holistic approach is better suited to understand psychopathy (which is itself contentious), it does not follow that their responsibility is mitigated in a way that causes communities to have special obligations to them as Gillett and Huang suggest. A diagnosis of APSD or psychopathy does not, prima facie, exculpate an agent or suggest a different way of treating them. My discussion will focus on the widely accepted excusing conditions one must meet for responsibility to me mitigated and conclude, contra Gillett and Huang, that psychopaths are no different from you or I with regards to having a causal history that leads to action. Outside forces play a role in all of our behavior. If the psychopath is owed anything because of the way they have come to understand the world then we all are owed that same debt.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it