The impact of low self-esteem on academic achievement and the behaviors related to it among medical students in Saudi Arabia
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.
Bibliographic record
Abstract
OBJECTIVES: To measure the prevalence of low self-esteem among medical students in Saudi Arabia and determine its impact on their behaviors and academic achievement. METHODS: We hypothesized that the level of self-esteem reflected on the student's academic performance and linked to some of their behaviors. A cross-sectional study was carried out among students of the medical colleges in Saudi Arabia. A self-administered questionnaire was distributed electronically using social media platforms, socio-demographic data, Rosenberg's self-esteem scale, and a questionnaire about self-esteem-related behaviors. RESULTS: Of 1099 participants (55.9% females and 50% males), 24.1% showed low self-esteem. Independent significant predictors of low self-esteem were female gender and diagnosis with mental illness. Increasing GPA was associated with better self-esteem. Participating in students' study groups and attending self-development programs were estimated to be the protective factors against low self-esteem. CONCLUSION: One-quarter of medical students are assumed to have low self-esteem. Improved GPA ratings positively influence self-esteem, while attending students' study groups and self-development programs were identified as protective factors for low self-esteem. Further studies are needed to shed more light on this important topic.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.008 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it