The errorless classroom: a success-focused, non-intrusive approach to intervention for severe behaviour
Bibliographic record
Abstract
Errorless acquiescence training (EAT) was used to improve the social skills of 8 children referred to a clinical classroom due to severe antisocial and oppositional behaviors. Prior to treatment, all 8 children evinced low levels of cooperation and high levels of antisocial behaviors. An errorless paradigm was used to teach children to tolerate and yield to the will and provocations of their peers without retaliation (i.e., acquiescence). Consistent with all errorless paradigms, key intervention components (i.e., instructions, prompts, reinforcements, and performance feedback) were systematically faded at a slow enough rate during treatment to ensure successful social interactions among peers. Throughout and following treatment, all 8 children demonstrated an increase in acquiescent responding, significant reductions in antisocial behaviors, and substantial improvements in prosocial verbal responding. The effects of EAT extended to improvements in prosocial physical responding and clean-up behaviors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".