The Relationship between Body Shame and the Tendency towards Cosmetic Surgery among Female High School Students
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".