Studies on impact of Teaching the Breast Examination Skill Through Lecture, Video, Mannequin and on Real Patients, on Medical Students in Kingdom of Saudi Arabia and in India
Bibliographic record
Abstract
Teaching of Breast Examination skill to Medical Students is a real challenge all over world as Breastis an intimate organ. Hence there is increasing effort to find alternative to teaching on real patients forconfidant development of communicative and Palpative skull.In ethically prohibitive cultures (ie. Kingdom of Saudi Arabia) Didactic Lecture followed by Videodemonstration plays significant role in ethically prohibitive cultures in teaching of Breast ExaminationCommunication skill; where as Didactic Lecture followed by Video demonstration and MannequinDemonstration and Practice plays significant role in ethically in teaching of Breast Examination Palpationskill.In ethically less prohibitive cultures (ie. India) Didactic Lecture followed Bed side demonstration ofBreast examination on real patient plays significant in Communication skill ; where as Didactic Lecturefollowed by Video and Bed side demonstration of Breast examination on real patient and Practice playssignificant role in Breast Palpation skill.
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".