A Survey of Students' Cognition of Acne and Their Self-Identity: A Case Study of a College in North Taiwan
Bibliographic record
Abstract
Acne is one of the common skin problems in adolescents and it is a multifactorial inflammatory disease of the skin.Facial acne affects not only appearance and mood, but also causes permanent scars on the patient's skin and even social problems.This study intends to use cosmetic and application science students from a certain specialty school in the northern part of the country as subjects to investigate the impact of cosmetics students on acne cognition and self-identity.The results showed that as many as 80% of the respondents had problems with acne, especially in the forehead, nose T-site; most students think that facial acne can cause confusion, inferiority and affect social interaction, the average degree of recognition of 3.8 points ( 5 subscales).The student's average recognition rate for acne is 71.3%, and he believes that frequent staying up late, eating, stress, hormonal changes, improper facial cleansing are the causes of acne, less staying up late, looking at dermatologists, changing eating habits, and Facial cleansing is a way to improve acne.It is inferred that the students' knowledge and treatment of acne are still insufficient.They must strengthen the teaching of acne-related professional knowledge in beauty courses to prevent skin problems from affecting students' self-identity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".