The comparison of trends in the education of pupils and students with mental disabilities in selected countries
Bibliographic record
Abstract
The diploma thesis describes the development of trends in the education of pupils with mental disabilities in selected countries. The aim of the thesis is to describe and compare the differences within the same trend in the education of people with mental disabilities in Spain, the Czech Republic, France and Quebec. Research questions are formulated in accordance with the formulated objective. The first unit of work is devoted to trends and approaches to persons with mental disabilities in the global context and human rights in international documents. Subsequently, mental disability is defined and some psychological aspects of persons with disabilities affecting the educational process are described. The work continues by describing the development of trends in the education of people with mental disabilities in the compared countries in the context of legislative and conceptual documents and laws that relate to the topic of work. The research part of the work focuses on the analysis of texts and the comparison of parts of school laws of individual countries. The comparison of the evolution of educational trends is made from a time point of view. To gain a deeper understanding of the issue, interviews are conducted with parents and teachers of children with mental disabilities. Considering the...
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".