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Record W1976549848 · doi:10.1521/jscp.20.2.147.22260

Do You See What I See?: Facial Attractiveness and Weight Preoccupation in College Women

2001· article· en· W1976549848 on OpenAlex
Caroline Davis, Barbara Shuster, Michelle M. Dionne, Gordon Claridge

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

VenueJournal of Social and Clinical Psychology · 2001
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyPhysical attractivenessAttractivenessNeuroticismSocial psychologyHuman physical appearancePerfectionism (psychology)PersonalityContext (archaeology)BeautyTraitDevelopmental psychologyStereotype (UML)Big Five personality traits

Abstract

fetched live from OpenAlex

A great deal of research illustrates the numerous social and biological advantages that accrue to those who are physically attractive. However, few studies have investigated the negative aspects of physical beauty. In the present study we tested the hypothesis that, after controlling for body size, women rated by others as being physically attractive would have greater weight and diet concerns than those rated by others as less attractive. As predicted, data from 100 college-aged women indicated that objective ratings of attractiveness were positively correlated, whereas subjective ratings inversely correlated with a measure of weight preoccupation. We also found that appearance orientation and neurotic perfectionism accounted for a significant proportion of the variance in weight preoccupation. Results are interpreted in the context of the attractiveness stereotype and the sexualization of women in our society.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.094
GPT teacher head0.468
Teacher spread0.373 · 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