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Record W3114320833 · doi:10.1080/15265161.2020.1863509

The Ethical Defensibility of Harm Reduction and Eating Disorders

2020· article· en· W3114320833 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

VenueThe American Journal of Bioethics · 2020
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsAnorexia nervosaEating disordersHarmHarm reductionAddictionPsychiatryPsychologyPsychotherapistMedicineSocial psychologyPublic healthNursing

Abstract

fetched live from OpenAlex

Eating disorders are mental illnesses that can have a significant and persistent physical impact, especially for those who are not treated early in their disease trajectory. Although many persons with eating disorders may make a full recovery, some may not; this is especially the case when it comes to persons with severe and enduring anorexia nervosa (SEAN), namely, those who have had anorexia for between 6 and 12 years or more. Given that persons with SEAN are less likely to make a full recovery, a different treatment philosophy might be ethically warranted. One potential yet scarcely considered way to treat persons with SEAN is that of a harm reduction approach. A harm reduction philosophy is deemed widely defensible in certain contexts (e.g. in the substance use and addictions domain), and in this paper we argue that it may be similarly ethically defensible for treating persons with SEAN in some circumstances.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.063
GPT teacher head0.380
Teacher spread0.317 · 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