Maladaptive Behaviour Effects on Female College Students Body Image Ideals
Bibliographic record
Abstract
Abstract\nThis study investigates the influences of maladaptive perfectionism on female college students' body image dissatisfaction. Specifically, it looks at how maladaptive perfectionism affects social appearance anxiety and body image cognitive distortions. The sample comprised of 80 female participants from Brescia University College in London, Ontario, Canada. The Almost Perfect Scale-Revised (APS-R) (Slaney et al., 2001) was used to measure participants' maladaptive and adaptive perfectionism scores. The Assessment of Body Image Cognitive Distortion (ABCD) (Cash, 2008) scale was used to measure participants' cognitive distortions about their bodies. The Social Appearance Anxiety Scale (SAAS) (Hart et al., 2008) was used to measure participants' social anxiety. A Pearson correlation analysis examined the relationship between maladaptive perfectionism and Social Appearance Anxiety and found a significant positive correlation. A positive correlation was found between maladaptive perfectionism and body image cognitive distortions. A positive correlation was also found between social appearance anxiety and body image cognitive distortions. These findings suggest that higher levels of maladaptive perfectionism are related to higher levels of social appearance anxiety and body image cognitive distortions in female university students.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".