TRAINING AND MOTIVATIONS OF SPECIAL EDUCATION TEACHERS IN GREECE
Bibliographic record
Abstract
This research aims to investigate the characteristics of teachers of the special education population, their training, the available training programs, the necessary qualifications the possibility of their cooperation with bodies and individuals (like school counselor) and their motivations as regards this field of employmen. The results show that: Women are the majority among young teachers having less experience in special education. On the contrary, men between 31-50 years old are comparatively more than women. The majority of teachers up to the age of 30 years old serve special schools and the majority of teachers between 31-40 years old serve integration classes. INSET colleges (Didaskalia) train the majority of teachers on special education. Special studies and sensitization motivate teachers to choose the field of special education to a high degree. Financial bonuses also play an important role in their choice. According to teachers, school units and school system in general does not correspond to a great extend with the particular needs of special education. Teachers cooperate satisfactorily to a great extent with their colleagues and with the parents of their students. The element that mainly differentiates teachers that participated in the research in relation to the total of their answers is their age.
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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 | 0.001 |
| 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".