General Case Quasi-Pyramidal Staff Training to Promote Generalization of Teaching Skills in Supervisory and Direct-Care Staff
Bibliographic record
Abstract
The authors employed staff training strategies designed to enhance generalization of teaching skills in staff working with persons with developmental disabilities. Staff training consultants initially employed a general case training approach involving the use of specially selected client program exemplars to provide three supervisory staff with generalized teaching skills. Subsequently, supervisory staff used the general case approach to train teaching skills to direct-care staff, with staff training support from the consultants (quasi-pyramidal training). Supervisors showed improvement in teaching skills after supervisory staff training, but only one of the three supervisors exceeded 70% correct skill use. After participating in the training of their own staff, however, supervisors demonstrated further improvements in skill use. All direct-care staff showed improvement after quasi-pyramidal training, with seven of the nine staff exceeding 70% correct skill use. General case quasi-pyramidal training appears to have potential as a strategy for promoting generalization of staff teaching skills in both trainees and trainers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".