Bibliographic record
Abstract
The main objective of this study was to examine effectiveness of Lazarus approach-based group consultation in solving social problem and emotional maturity of female adolescences living in Kashan, Iran.The applied methodology in this research was quasi-experiment with pretest and posttest groups.Statistical society of study comprised all of adolescent girls who live in Kashan.First, cluster random sampling was used as 36 members were selected as sample size (n=36) and 18 members were randomly assigned to test group and 18 members were assigned to control group.The applied instrument in this study was Social Problem Solving Inventory (SPSI-R) designed by D' Zurilla et al. (2002) and Emotional Maturity Scale (EMS) designed by Yashwir Singh & Mahesh Bhargave (1991) that were filled out by control and test groups within two steps before and after the experiment.Collecting data, results were analyzed using ANCOVA through SPSS Software and results showed that Lazarus approach-based group consultation had a significant effect on social problem solving and emotional maturity of adolescent girls.Detailed results indicated significant effect of Lazarus approach-based group consultation on solving social problem of adolescent girls.Moreover, Lazarus approach-based group consultation had a significant effect on emotional maturity of adolescent girls.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.872 | 0.802 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".