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Does Friendship Matter? An Examination of Social Physique Anxiety in Adolescence<sup>1</sup>

2007· article· en· W2166560165 on OpenAlexaff
Diane E. Mack, Heather A. Strong, Kent C. Kowalski, Peter R.E. Crocker

Bibliographic record

VenueJournal of Applied Social Psychology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of British ColumbiaUniversity of SaskatchewanBrock University
Fundersnot available
KeywordsPsychologyFriendshipPhysical attractivenessAnxietyPeer groupAttractivenessSocial anxietyDevelopmental psychologyPeer pressureSocial psychology

Abstract

fetched live from OpenAlex

The role of peer group composition and influence variables on social physique anxiety was examined. Peer network data were gathered on 375 adolescents (181 male, 194 female). Females reported experiencing higher social physique anxiety, more pressure and encouragement to alter their physique from peers, greater body‐related discussion, and greater identification with the peer group than did males. Regression analyses revealed 2 peer influence variables—peer pressure and relative attractiveness of peers—to be significant predictors of social physique anxiety. A third variable—extent to which the individual identified with peer network—was a significant predictor for females. Results are discussed in reference to previous research, and future research directions are identified.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.351
Teacher spread0.333 · 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 designObservational
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

Citations31
Published2007
Admission routes1
Has abstractyes

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Same venueJournal of Applied Social PsychologySame topicImpact of Technology on AdolescentsFrench-language works237,207