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Record W4396501375 · doi:10.1016/j.bodyim.2024.101715

Out of the loop: Taking a one-week break from social media leads to better self-esteem and body image among young women

2024· article· en· W4396501375 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 · 2024
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologySelf-esteemSocial comparison theoryDevelopmental psychologyLoop (graph theory)Social mediaSelf-conceptSocial psychologyMathematicsCombinatorics

Abstract

fetched live from OpenAlex

This study experimentally tested the effects of taking a one-week break from social media (SM) on body image and self-esteem among young women. Female undergraduate students (N = 66) were randomly assigned to either take a one-week break from SM or continue their normal use (control condition). State self-esteem and body satisfaction were measured at baseline (Time 1) and one week later (Time 2). As predicted, participants in the break condition reported higher body satisfaction and higher state self-esteem (total, performance, social, and appearance domains) at Time 2 than did those in the control condition, controlling for Time 1 scores. The benefits of taking a break from SM on body satisfaction were especially pronounced for women with higher baseline levels of thin-ideal internalization. The findings demonstrate the short-term benefits of taking a break from SM for one week on self-esteem and body image among young 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.907

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)0.0010.000

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 head0.018
GPT teacher head0.293
Teacher spread0.276 · 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