To the Question of Formation of Competences for the Safety of Life of Students with Intellectual Disabilities
Bibliographic record
Abstract
The history of society has shown that neglect of security can lead to serious negative consequences and even tragedies, so the achievement of an adequate level of safety is possible only with the high culture and awareness of the entire population of the state.Pupils with intellectual disabilities are of particular concern because they are the most vulnerable.The urgent issue today is to provide for the needs of each child and to create all the conditions for their full life.Children who have intellectual disabilities need special care.Currently, the problem of socialization of children with intellectual disabilities is intensifying and their integration into society successfully.The complexity of this problem is determined by the fact that the pupils of both special schools and institutions with inclusive education have quite a variety of profound disorders of psychophysical development.In such a case, the question arises as to the need for the formation of competencies for safety.This can be done at various levels, including the educational level, by building competencies for life safety in lessons.The formation of students' relevant competences occurs during the entire study.But a special place in this process should belong to the subject "Health Fundamentals".After all, when studying this particular subject, students have the opportunity to develop knowledge, skills and safety skills.In his work, the author raises the issue of forming competencies for the safety of life of students with intellectual disabilities.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".