An investigation on impact of Glasser method on improving quality of life: A case study of mentally retarded children’s mothers
Bibliographic record
Abstract
This study aims to evaluate the effectiveness of training on quality of life based on Glasser's training program on parents with mentally retarded children.In our study, samples were divided into two groups of experiment, control and pretest were executed for two groups, and then Glaser's method was performed in six consecutive 150 minutes long sessions and, finally, both groups were investigated, statistically.The population of this survey includes mothers of mentally retarded children and the study has been performed in city of Esfahan, Iran.We selected a group of 60 mothers and divided them into two equal groups of 30 people.World Health Organization Quality of Life Questionnaire contained 26 questions where 24 questions measure physical and psychological health, social relationships and environment health consisted of 7, 6, 3 and 8 questions, respectively.The results of the survey indicate that Glaser's training program could significantly improve quality of life in our study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".