EFFECTS OF VERBAL REPRIMANDS ON TARGETED AND UNTARGETED STEREOTYPY
Bibliographic record
Abstract
Results of brief functional analyses indicated that motor and vocal stereotypy persisted in the absence of social consequences for five participants diagnosed with autism spectrum disorder (ASD). Subsequently, effects of a stimulus control procedure involving contingent reprimands for each participant's higher probability (targeted) stereotypy were evaluated. Results indicated that contingent verbal reprimands (i) decreased the targeted stereotypy for all five participants, (ii) decreased the untargeted stereotypy for two of five participants, and (iii) increased the untargeted stereotypy for one of five participants. Although response suppression was not achieved for any participant, three participants maintained low levels of the target stereotypy with one or two reprimands during 5‐min sessions. Furthermore, two of those participants maintained near‐zero levels of motor and vocal stereotypy during 10‐min sessions. These findings suggest that signaled verbal reprimands may be a practical intervention for reducing stereotypy in some children with ASD. Some limitations of the findings and areas of future research are briefly discussed. Copyright © 2014 John Wiley & Sons, Ltd.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".