Neurasthenia Revisited: On Medically Unexplained Syndromes and the Value of Hermeneutic Medicine
Bibliographic record
Abstract
The rise of medically unexplained conditions like fibromyalgia and chronic fatigue syndrome in the United States looks remarkably similar to the explosion of neurasthenia diagnoses in the late nineteenth century. In this paper, I argue the historical connection between neurasthenia and today’s medically unexplained conditions hinges largely on the uncritical acceptance of naturalism in medicine. I show how this cultural acceptance shapes the way in which we interpret and make sense of nervous distress while, at the same time, neglecting the unique social and historical forces that continue to produce it. I draw on the methods of hermeneutic philosophy to expose the limits of naturalism and forward an account of health and illness that acknowledges the extent to which we are always embedded in contexts of meaning that determine how we experience and understand our suffering.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".