The Evolving Position of the American Psychiatric Association on Firearm Policy (1993–2014)
Bibliographic record
Abstract
Before the Supreme Court's 2008 decision in District of Columbia v. Heller, the American Psychiatric Association's position on gun policy reflected the strong gun control perspective championed by the nation's public health establishment. After Heller declared that an individual's right to bear arms is constitutionally protected, the APA refocused its attention on the specific aspects of firearm policy that implicate the interests and rights of persons with mental illness. Psychiatrists are mindful of the need to curtail firearm access by persons with mental disorders that elevate the risk of suicide or violence to others, but they are also opposed to stigmatization, discrimination, and unfair treatment of individuals based on mental illness. Although civil commitment is an acceptable basis for prohibiting access to firearms, other adjudications of conduct indicative of elevated risk should also be included. Every state should provide a fair and reasonable process for restoring firearm rights after a suitable waiting period based on individualized assessment of whether the person remains at an elevated risk. However, restricting firearm rights of persons solely on the basis of a diagnosis of a mental disorder or voluntary treatment, whether in-patient or outpatient, discourages treatment and would be counterproductive.
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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 | 0.030 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.030 | 0.033 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".