The Effectiveness of a Cognitive Behavioral Guidance Program in Improving Social Efficiency in Female Students in University Cities of Khartoum State
Bibliographic record
Abstract
Background: The aim of this study was to identify the impact of the application of a guidance program on female students in university cities whose grades were limited in the first quarter. Materials and methods: according to the statistical analysis of the scale, two tools were used: the social efficiency scale and the group guidance program which consisting of guidance leaflets, such ad (homework, evaluations questionnaire. Results: the findings showed a strong impact of the extension program in increasing the ability to manage emotion among sample members. A strong impact of the extension program in raising self-awareness among sample members. Strong impact of the extension program in increasing the ability to communicate effectively with others in the sample. A strong impact of the counseling program in improving the distress situation among sample members. Conclusion: In light of the findings of this study, a number of recommendations were presented. The most important of these were the necessity of introducing elements of social competence within the various subjects in the study curricula for the educational stages, especially in light of the lack of guidance for students in residential cities or insufficient number. Which would achieve the social efficiency of the community.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".