The Efficiency of a Selective Training Program on the Development of Some Social Skills of Saudi Students with Autism
Bibliographic record
Abstract
The objective of the present study is to find out the efficiency of a selective training program on the development of some social skills of Saudi students with Autism. The study sample comprised of (6) male students with Autism who aged (9-12) years, with an average age of (10.58) years, and a standard deviation of (1.16) years. Their IQ ranged on the Stanford-Binet Scale between (67-78) degrees, with an average of (72.17) degrees, and a standard deviation of (4.16) degrees. Their grades on Childhood Autism Rating Scale were between (30-36.5), with an average of (33.67) and a standard deviation of (2.48). The study sample is divided into two groups, one of them is an experimental group that comprised (3) students and the other is a control group that comprised (3) students. The sample also comprised of three teachers of these students. The researcher prepared Social Skills Scale for students with Autism, Childhood Autism Rating Scale translated and revised by Al-Shammri and Al-Sertawi (2003), and a selective training program prepared by the researcher. The results showed that the selective training program which is used in this study was effective on improving the social skills of the Saudi students with Autism.
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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 | 0.000 | 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".