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Record W2791105827

Legislating Away Illness: Examining Efforts to Curb the Development of Eating Disorders Through Law

2018· article· en· W2791105827 on OpenAlexaff
Connor Bildfell

Bibliographic record

VenueeYLS (Yale Law School) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsParliamentLegislationPaternalismLawState (computer science)Eating disordersPolitical scienceLaw and economicsSociologyPublic relationsPsychologyPoliticsPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

In response to concerns over the alarmingly high incidence of eating disorders, both the Israeli Parliament and the French Parliament have passed legislation restricting advertising and modelling practices, and the California State Assembly has recently sought to do the same. In light of the severity and prevalence of eating disorders, as well as the growing body of evidence suggesting a strong connection between the media and the proliferation of eating disorders, legislators are understandably attempting to stem this scourge through legal means. Although recent attempts to “legislate away” eating disorders are laudable and may make a significant difference in reversing current trends, this article argues that such legal measures are not enough. The prospect of regulating the fashion and media industries through law raises several important questions. To what extent should the state regulate commercial expression to protect vulnerable individuals? Is such an intrusion overly paternalistic? If law is the answer (or at least part of the answer), precisely how should the legislation be devised, and what might be its contours? How do we strike a balance between the public interest in promoting healthy body images and protecting lives and the interests of fashion and media industry stakeholders’ freedom of expression? More generally, a key concern canvassed in this article is how the appropriate balance can be struck between public health concerns and other compelling interests, principles, and values.

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 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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.262
Teacher spread0.221 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

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