Madness in the Archives: Anonymity, Ethics, and Mental Health History Research
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
Historians have long been vexed by the challenges of using patient records as primary sources. Lurking behind the many methodological and interpretative challenges are ethical questions involving the status and identity of the dead patient. What rights do the deceased maintain over their medical records? What ethical obligations do researchers have in analyzing these historical records and, in particular, to preserving the anonymity of patients? Do professional duties diminish the further back one goes in time? Do patients suffering from mental distress differ from other “medical” patients in the ethical regard owed to them? Now that we know about the care of the mentally ill outside of formal institutions during the era of the asylum, is there something intrinsically different about the status of individuals once they entered formal institutions? Or do the designations of “lunacy” or “idiocy” on extramural death certificates or in census enumerators’ schedules oblige a similar professional discretion? Is the concern over confidentiality giving way to a new emphasis on returning names (and agency) to vulnerable groups in the past? This paper explores these questions, ones that lie at the heart of what we do as historians of disability, medicine, and society.
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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