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Record W204054298 · doi:10.1093/pch/8.5.287

The impact of the media on eating disorders in children and adolescents

2003· article· en· W204054298 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

VenuePaediatrics & Child Health · 2003
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsEating disordersPsychologyMedicineClinical psychologyPsychiatryPediatrics

Abstract

fetched live from OpenAlex

Epidemiological studies have suggested that the incidence of eating disorders among adolescent girls has increased over the last 50 years. The reported prevalence rate for anorexia nervosa is 0.48% among girls 15 to 19 years old. Approximately 1% to 5% of adolescent girls meet the criteria for bulimia nervosa (1). Today, more than ever, adolescents are prone to concerns about their weight, shape, size and body image, and as a result, diet to lose weight (2–5). Little is known about how these body image- and weight-related concerns arise. These behaviours have been suggested as possible risk factors for the development of eating disorders. Many researchers have hypothesized that the media may play a central role in creating and intensifying the phenomenon of body dissatisfaction and consequently, may be partly responsible for the increase in the prevalence of eating disorders. This paper reviews some of the evidence regarding the influence of the media on the development of an adolescent's self-perception, body image, weight concerns and weight control practices. In addition, we examine how media content might be attended to and positively incorporated into the lives of children and adolescents.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.009
GPT teacher head0.305
Teacher spread0.296 · 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