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Record W4394907603 · doi:10.61838/kman.jppr.1.2.2

The Relationship between Body Shame and the Tendency towards Cosmetic Surgery among Female High School Students

2023· article· en· W4394907603 on OpenAlex

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 Personality and Psychosomatic Research · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Perception and Purchasing Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsShamePsychologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the relationship between body shame and the inclination towards cosmetic surgery among female high school students in Shiraz. This applied research was conducted using a descriptive-correlational method. The study population included all female high school students in Shiraz, during the 2023-2024 academic year, from whom 350 individuals were selected through multi-stage cluster random sampling and studied. Data were collected using the Body Shame questionnaire by McKinley & Hyde (2001) and the Attitude Towards Cosmetic Surgery Scale by Swami et al. (2018). After data collection and extraction, participants' scores were analyzed using Pearson correlation coefficient and regression analysis. Regression test results showed that body shame has a significant effect on the inclination towards cosmetic surgery among female high school students in Shiraz (p<0.01). Pearson correlation coefficient results indicated that there is a significant positive correlation between body shame and the inclination towards cosmetic surgery (p<0.05). Consequently, the inclination towards cosmetic surgery can be significantly predicted through body shame.

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)0.015
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.226
GPT teacher head0.425
Teacher spread0.199 · 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