Social Anxiety Symptoms Among Students With Learning Disabilities in Jordan
Bibliographic record
Abstract
The current study aimed to describe the symptoms of social anxiety symptoms among students with learning disabilities in Jordan. The study included 120 students with learning disabilities, 60 males and 60 females. To achieve the aim of the study, the researcher constructed a scale of social anxiety symptoms and achieved its validity and reliability coefficients. The results indicated that the means ranged between (3.08-2.05), where emotional symptoms came in the first place with the highest mean of (3.08), while Physiological symptoms came in the last place with an means of (2.05), and the mean of the level of social anxiety among the Students with learning disabilities as a whole (2.73). There were no statistically significant differences (α = 0.05) due to the effect of gender in all fields and in the total degree. And there were statistically significant differences (α = 0.05) between the fifth grade on the one hand and the fourth, sixth and seventh grades on the other hand, and the differences came in favor of the fifth grade in physiological symptoms. Also, there were statistically significant differences (α = 0.05) between the seventh and sixth grades, and the differences were in favor of the sixth grade in cognitive symptoms. In addition, there were statistically significant differences (α = 0.05) between the seventh and fifth grades, and the differences were in favor of the fifth grade in the total score. The study recommended the need to provide remedial services for this category of students to enable them to overcome their psychological challenges.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".