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Record W2082307666 · doi:10.1080/0887044031000148246

Positive and negative body-related comments and their relationship with body dissatisfaction in middle-aged women

2004· article· en· W2082307666 on OpenAlexaff
Lindsay McLaren, Diana Kuh, Rebecca Hardy, Lise Gauvin

Bibliographic record

VenuePsychology and Health · 2004
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité de MontréalUniversity of Calgary
Fundersnot available
KeywordsPsychologyBody weightSelf-esteemDevelopmental psychologyDemographyLower bodyClinical psychologyMedicine

Abstract

fetched live from OpenAlex

We examined the relationship between body-related comments recalled across the life span and current body esteem among 898 54-year-old female participants from the MRC National Survey of Health and Development. A significant effect of negative comments while growing up, which was independent of comments from partner, suggests an enduring adverse impact of these early comments on midlife body esteem. There was no evidence that the detrimental effect of negative comments recalled while growing up could be reversed by compliments from one’s partner. Partner comments (positive or negative) had a greater impact on the body esteem of thinner women and of women who had received positive comments while growing up. Results suggest that an impact of social feedback on body esteem is not restricted to young samples, and that comments received in adulthood (and not just during childhood or adolescence) should be taken into account.

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)0.007
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
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.044
GPT teacher head0.363
Teacher spread0.319 · 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

Citations84
Published2004
Admission routes1
Has abstractyes

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