Extracurricular Activities Amongst Health Colleges Students at the Imam Abdulrahman Bin Faisal University
Bibliographic record
Abstract
OBJECTIVES: To study the attitude of health colleges students about extracurricular activities.METHODS: A cross sectional study was conducted among 213 students, only 117 students responded. An online survey was sent to all students in the second-year health colleges at the Imam Abdulrahman Bin Faisal University (formally University of Dammam) in Saudi Arabia in 2015 (February-April). The survey consisted of two parts; Part I: Students participation in different activities, and Part II: consisted of questions about the barriers of participating in the extracurricular activities.RESULTS: The results showed that the participation percentage in extracurricular activities was low (9.6%). Students at the present study reported that the most common obstacle was the conflict with the classes. Students stated other factors such as; there were no incentive, not encouraged by faculty members to participate in extracurricular activities, no guidance for the activities and its objectives and that most of the activities are not attractive.CONCLUSION: Engagement in extracurricular activities among health colleges student at the Imam Abdulrahman Bin Faisal University was low. Obstacles should be addressed by the deanships of student affairs in order to enhance the involvement in extracurricular activity.
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.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".