Bibliographic record
Abstract
Few conditions have sparked as much controversy as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Professional consensus has long suggested that the condition should be classified as psychiatric, while patients and advocacy groups have insisted it is a serious biological disease that requires medical care and research to develop it. This longstanding debate shifted in 2015, when U.S. governmental health authorities fully embraced medical classification and management. Given that some globally respected health authorities now insist that ME/CFS is a serious biological disease, this paper asks whether it can be ethical for the U.K. practice guideline now in development to characterize the condition as a mental health disorder. Following a brief history of ME/CFS controversy, I offer three arguments to show that it would be unethical for the U.K. to now characterize ME/CFS as a mental health condition, considering the relevance of that conclusion for ME/CFS guidelines elsewhere and for other contested conditions.
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.
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 | 0.031 | 0.071 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.013 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".