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Record W7036357698

Body-related social comparisons in college-aged men

2015· article· en· W7036357698 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsBrock University
Fundersnot available
KeywordsSocial comparison theoryFeelingDimension (graph theory)Social perceptionSocial relationLower body
DOInot available

Abstract

fetched live from OpenAlex

Social comparisons can have a negative impact on body image (van den Berg et al., 2007), with outcomes such as body dissatisfaction, and negative thoughts and feelings about the body particularly in women (Bergstrom & Neighbors, 2006). Less is known about the body-related social comparisons in men. The present study examined the nature of body-related social comparisons made by college-aged men. Participants (N=49) completed measures of the frequency and direction (positive or negative) of body-related comparisons they make to various targets (e.g., same-sex friends, models/celebrities) and on various body dimensions (e.g., appearance, strength). The results showed college-aged men compared themselves most frequently to same-sex friends and peers, and most frequently on the dimension of muscle mass or tone. They also made the most positive body-related comparisons to same-sex parents and on the dimension of co-ordination. Consistent with the existing literature, the results indicate same-sex friends and peers are chosen as the most frequent target for comparison, likely because their shared similarities provide a more realistic comparison (Franzoi & Klaiber, 2007). Body dimensions related to muscularity (i.e., muscle mass or tone) were likely compared most frequently because college-aged males tend to place great importance on this aspect of the body, which is consistent with Social Comparison Theory (Festinger, 1954).?????

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.920
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.280
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2015
Admission routes1
Has abstractyes

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