Opinions on Qualifications of Surveyors of Care for Children with Disabilities in Japan
Bibliographic record
Abstract
To assure the quality of care for children with disabilities, opinions on the qualifications and training programmes for surveyors of the care for children with disabilities were collected in case Japan implemented the new assessment system that specialised in care for children with disabilities. To illustrate the career pathway and to compare the system with other inspection systems overseas, this study employed a triangle model using education years as the scale. The questionnaires were twice mailed to all the administration adequacy committees and grievance committees. Seventeen committees replied. Results revealed the average number of years of education was 4.6 years and 7 years for applicants and inexperienced surveyors, respectively. The recommended duration of training programmes was 27.8 hours on average. The respondents appeared to expect extremely high qualifications to be obtained in rapid training in comparison to overseas inspectors; however, this was not uncommon in Japan. The ministry shared our findings for the improved survey. Indices of the triangle model will be beneficial to compare qualifications and evaluate training programmes.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".