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Record W2912954006 · doi:10.1111/bioe.12559

Ethical classification of ME/CFS in the United Kingdom

2019· article· en· W2912954006 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBioethics · 2019
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsWestern University
Fundersnot available
KeywordsChronic fatigue syndromeMental healthPsychiatryRelevance (law)GuidelineDiseaseMedicineEthical issuesPsychologyPolitical scienceLawEngineering ethicsPathology

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.179
GPT teacher head0.415
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it