"Madwomen" in Quebec: An Analysis of the Recurring Themes in the Reasons for Women's Committal to Beauport, 1894-1940
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
Perry Molinoff recognizes the distinctions between basic and applied science, between academic and industrial research, and between the preclinical and clinical realities of drug development. But he generally discusses these categories in fluid, practical terms, having throughout his career crossed the lines of distinction that have sometimes been rather heavily drawn among pharmacologists. As a third-year medical student at Harvard, he decided "to take a year off" to conduct laboratory research. After receiving his MD and pursuing further clinical and postdoctoral work, he enjoyed an academic career that included fourteen years as the A.N. Richards Professor and Chair of Pharmacology at the University of Pennsylvania School of Medicine. He has just completed six years as Vice President of Neuroscience and Genitourinary Drug Discovery for Bristol-Myers Squibb and will soon return to teaching, in the Departments of Psychiatry and Pharmacology at Yale University. Referring to himself as either pharmacologist or neuroscientist, depending on context, he has made fundamental discoveries in receptor biology, has overseen the discovery and development of drugs and their subsequent clinical trials, and has mentored a host of pharmacologists and neuroscientists who themselves have established careers in industry and academia. The pursuit of discovery as its own reward emerges as a theme that has marked his professional life (and is perhaps reflected also in the images displayed in his office of the Himalayan mountains, photographed by Molinoff himself from the Everest base camp last year).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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