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Record W2900694169 · doi:10.1016/j.bodyim.2018.11.002

The effects of active social media engagement with peers on body image in young women

2018· article· en· W2900694169 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

VenueBody Image · 2018
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyDevelopmental psychologyYoung adultSocial mediaScale (ratio)Social psychology

Abstract

fetched live from OpenAlex

This experimental study examined the effects of engaging on social media with attractive female peers on young adult women's body image. Participants were 118 female undergraduate students randomly assigned to one of two experimental conditions. Participants first completed a visual analogue scale measure of state body image and then either browsed and left a comment on the social media site of an attractive female peer (n = 56) or did the same with a family member (n = 62) and then completed a post-manipulation visual analogue scale measure of state body image. A 2 × 2 mixed analysis of variance showed a significant interaction between condition and time. Follow-up t-tests revealed that young adult women who engaged with an attractive peer on social media subsequently experienced an increase in negative body image (dependence-corrected d = 0.13), whereas those who engaged with a family member did not (dependence-corrected d = 0.02). The findings suggest that upward appearance comparisons on social media may promote increased body image concerns in young adult women.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.434

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 integrity0.0000.000
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 head0.010
GPT teacher head0.304
Teacher spread0.294 · 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