Foreign and domestic experience in the development of inclusive educationInclusive education
Bibliographic record
Abstract
The article examines the development and formation of inclusive education based on foreign experience. It is relevant to study the experience of civilized, developed countries and the application of its models in the domestic education system. The spread of global skills in the world places many demands on today's future specialist. Including the formation of an inclusive environment, according to which the modification of the educational process has become a natural phenomenon. The USA, Finland, Norway, Sweden, Canada, etc., which have gained extensive experience in the field of inclusive education, in these countries inclusive education arose in the 1960s. There was disagreement on the part of the society about inclusion. Tensions have been rising with regard to people with disabilities. Legally, the protection of their rights was difficult. It was only since the 1970s that the rights of people with disabilities began to be protected. The Swedish scientist Nurye proved that this category of people needs to be trained, educated.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".