Examples and experience: on the uncertainty of medicine
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
After a brief account of the uncertainty of medicine in early modern thought, this paper focuses on two supple, sophisticated accounts of medicine by 'non-medical' writers--Michel de Montaigne's views of medical theory and medical practice and Francis Bacon's proposals for renovating both--in which the claims of individual sufferers are set against the normativity of medicine as a whole. From around 1500 to around 1680, in the common ensemble of both learned and popular invective, medicine was disparaged as poor philosophy and worse practice, even as the 'lowest of professions'. In remarkably broad, elegant interventions, Montaigne argues that medicine is based on 'examples and experience' (and 'so is my opinion', he adds), impugning its universalizing claims with the tractable experience of his own embodiment, with his own historia and consilium, while Francis Bacon enlists dietetics, Hippocratic case-taking and medical history in his broad programme for the reform of medicine. He more or less accepts Montaigne's argument for particularity in medical theory and practice, but presses the particular into service in his reformist programme. Like many sixteenth- and early seventeenth-century scholars and physicians frustrated with Galenic methods and models, both turn to Hippocratic practice and to hygiene and dietetics as salves for an ailing discipline. Finally, I argue that both writers enquire into viable means for inflecting learned medicine with particular experience, and both settle on rhetorical tools - analogy and exemplarity - as the means by which universalized medical models might be particularized or reformed.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.000 | 0.000 |
| 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