The Level of Psychological Burnout at the Teachers of Students with Autism Disorders in Light of a Number of Variables in Al-Riyadh Area
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".