The Level of Psychological Burnout at the Teachers of Students with Autism Disorders in Light of a Number of Variables in Al-Riyadh Area
Why this work is in the frame
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Bibliographic record
Abstract
This study aimed at measuring the level of the psychological burnout in the teachers of students that have autism symptoms in Al-Riyadh area—kingdom of Saudi Arabia. In light of variables. These variables are the gender, the teaching place, the academic qualification of the teachers, the experience of the teachers, the age of the teachers, and the grades that the teachers teach. The methodology adopted in this study was the descriptive surveying method using the “Maslach Burnout Inventory” (MBI) of the psychological burnout. This measure consists of three dimensions as follows: The emotional fatigue, Sagging Feeling, Lack of feeling of personal Achievement. The sample of study included 94 teachers. All of the teachers in the Autism discover symptoms. The result obtained in this study has shown that there is an average level of burnout signs shown by the sample members at all of the three dimensions together. However, the study also showed that the awareness level varied against each dimensions as follows: the lack of feeling the personal achievement—dimension came first with a high average 27.56. In the second, place the (Emotional fatigue) dimension with an average of 23.06. Finally, in the third place came the (sagging feelings) dimension with an average of 3.16. In addition, the results showed significant differences at a level of α=0.05 due to the effect of the variables, affecting the burnout level, namely the teachers’ gender, the teachers’ age, and the teacher’s experience. On the other hand, the results showed insignificant differences at the effect of the other variables, which are the teaching place, the teachers’ academic qualification, and the age of students with autism disorder.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| 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) | 0.000 | 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 it