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Record W2040565748 · doi:10.2224/sbp.2007.35.2.255

BEING PROUD OF ONESELF AS A PERSON OR BEING PROUD OF ONE’S PHYSICAL APEARANCE: WHAT MATTERS FOR FEELING WELL IN ADOLESCENCE?

2007· article· en· W2040565748 on OpenAlexaff
Thérèse Bouffard

Bibliographic record

VenueSocial Behavior and Personality An International Journal · 2007
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyHuman physical appearanceFeelingSelf-esteemCompetence (human resources)Developmental psychologySocial psychologySelf-concept

Abstract

fetched live from OpenAlex

Among the numerous studies aimed at examining the link between appearance satisfaction and self-esteem at adolescence very few, except Zumpf and Harter (1989), have specifically examined the directionality of the relation. Hence, the first goal of this study was to examine the distribution of adolescents, according to their gender and grade level, within each of the following two groups: those who acknowledge that the evaluation of their physical appearance precedes and determines their global self-esteem, and those who conversely believe that they must first be satisfied with their global sense of self in order to be satisfied with their physical appearance. The second goal was to examine whether adolescents' perceived competence in various domains of daily life functioning differs according to how they value physical appearance. Participants were 1,362 adolescents (540 boys and 822 girls) from the 7th, 9th and 11th grades. Overall, 35% of adolescents acknowledged that their perceived appearance determined their self-esteem, with boys and girls being proportionally distributed between the groups. Adolescents in the group more concerned with appearance reported lower satisfaction with their physical appearance, lower self-esteem than others, and lower perceived competence in the scholastic and social domains.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.055
GPT teacher head0.400
Teacher spread0.345 · 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 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

Citations19
Published2007
Admission routes1
Has abstractyes

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