The effectiveness of Folk dance Expression program on some physiological variables and cortisol hormone to relieve psychological stress in refugee women
Bibliographic record
Abstract
This research aims to design a folk dance Expression program for refugee women in Canada and to find its impact on some morphological and physiological variables (cortisol level) for refugee and the psychological stress . The research also aims to study the effectiveness of the applied folk dance Expression program on these variables and Obtain self-Assessment on the folk dance program from the research sample of refugee .The results are 1- The folk dance Expression program improved morphological and physiological variables in the range between (10.46%: 67.47%) in favor of post measurement.2- The folk dance Expression program relieved some psychological stresses as economic stress improved by 47.26%, work stress improved by 19.35%, health stress improved by 18.06%. The overall score of the scale improved by 14.10% in favor of post measurements.3- The self-Assessment of the program was positive, as the research sample of refugee agreed on the program at a rate ranging from (81.6% to 100%).4- Defining a day each year dedicated to disseminating different Arab cultures (the second week of December every year) which contain a set of activities that help to stand by the Arab refugees "International Exhibition of Multiple Cultures".Recommendations:1- The necessity of paying attention to measuring psychological stress for different groups of society and the good planning to overcome it.2- Caring for refugees, providing health care and psychological support to solve their problems .3- Preparing more studies on refugees and providing more rehabilitation programs to help them .
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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 | 0.000 | 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 | 0.001 | 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) | 0.003 | 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".