Another Look at the Legal and Ethical Consequences of Pharmacological Memory Dampening: The Case of Sexual Assault
Bibliographic record
Abstract
Research on the use of propranolol as a pharmacological memory dampening treatment for post-traumatic stress disorder is continuing and justifies a second look at the legal and ethical issues raised in the past. We summarize the general ethical and legal issues raised in the literature so far, and we select two for in-depth reconsideration. We address the concern that a traumatized witness may be less effective in a prosecution emerging from the traumatic event after memory dampening treatment. We analyze this issue in relation to sexual assault, where the suggestion that corroborating evidence may remedy any memory defects is less likely to be helpful. We also consider the clinical ethical question about a physician's obligation to discuss potential legal consequences of memory dampening treatment. We conclude that this latter question reflects a general problem related to novel medical treatments where the broader socio-legal consequences may be poorly understood, and suggest that issues of this sort could usefully be addressed through the promulgation of practice guidelines.
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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 | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.023 | 0.017 |
| 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".