Bibliographic record
Abstract
Physical attractiveness is known to be associated with several socially desirable outcomes. With the growing emphasis on beauty in media and other platforms, attractiveness related concerns are becoming more common in today’s world, making the problem an intensified clinical condition. In the current study, data was collected and analyzed quantitatively to analyze the difference in levels of Charismaphobia between Muslim women who cover their heads and faces when going outside and those who do not cover their heads and faces in any form when they go out. Using convenient sampling method, data was collected from 615 Muslim women who filled out paper questionnaires as well as online survey. Unveiled Muslim women were found to exhibit higher level of Charismaphobia than veiled Muslim women. Differences based on marital status, professional level, body shape and skin tone were also analyzed in terms of Charismaphobia. The study has its valuable implications in understanding the condition of Charismaphobia more, especially as it exists in Pakistan and to explore ways to manage and treat it.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.965 | 0.954 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".