MétaCan
Menu
Back to cohort
Record W4301135320 · doi:10.1017/cbo9781139150040

Medical Management of Eating Disorders

2010· book· en· W4301135320 on OpenAlex
C. Laird Birmingham, Janet Treasure

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

VenueCambridge University Press eBooks · 2010
Typebook
Languageen
FieldMedicine
TopicChild Abuse and Related Trauma
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEating disordersAnorexia nervosaHealth professionalsAffect (linguistics)MedicinePsychiatryPsychologyHealth careNursingCommunication

Abstract

fetched live from OpenAlex

Eating disorders are known to affect between 1 and 4% of all women, and a smaller proportion of men. This text is designed to provide all health professionals with the practical information they need to treat patients with anorexia nervosa and related eating disorders. A user-friendly structure allows the reader to access information on the basis of physical complaint. The book is divided into five sections, each consisting of a case, discussion of the topic and a summary of key points. For the second edition, sections have been added on Munchausen's syndrome, the medical risk of death, ruminating, Superior Mesenteric Artery Syndrome, shoplifting, substance use, and patient self-help. The text is supplemented with diagnostic color photographs of important physical manifestations of eating disorders. The text is suitable for all health care professionals involved in eating disorder management, with special information provided for general practitioners, nursing staff, family carers and nutritionists.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.205
Teacher spread0.196 · 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