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Record W2165566579 · doi:10.1177/0272431602022001005

A Program to Promote Positive Body Image:

2002· article· en· W2165566579 on OpenAlexaff
Gail McVey, Ron Davis

Bibliographic record

VenueThe Journal of Early Adolescence · 2002
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsLakehead UniversityHospital for Sick Children
Fundersnot available
KeywordsPsychologyPromotion (chess)Eating disordersSession (web analytics)Stress managementClinical psychologyDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

The effectiveness of a program designed to promote body image satisfaction and prevent eating problems in young adolescent girls was evaluated over a 1-year period. A total of 263 girls in Grade 6, one-half of whom were in the control group, completed questionnaires that assessed body image satisfaction and eating problems before and 1 week after the prevention program, and 6 and 12 months later. The six-session prevention program was developed around two principal components: (a) media literacy about the dangers associated with the idealization of thinness and (b) the promotion of life skills, including self-esteem enhancement strategies, stress management techniques, and peer relations skills. There was no program effect. Instead, the findings revealed significant increases in body image satisfaction and decreases in eating problem scores over time for participants in both the prevention and control groups.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations76
Published2002
Admission routes1
Has abstractyes

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