To What Extent Do Practitioners Need to Treat Stereotypy During Academic Tasks?
Bibliographic record
Abstract
Researchers frequently argue that a child's engagement in stereotypy may compete with his ability to acquire academic skills, engage in appropriate social interactions, or both; however, few studies have directly tested these suppositions. We used a five-phase assessment to evaluate the extent to which behavioral interventions with a progressively greater number of components were necessary to decrease stereotypy and increase correct responding during academic instructions for five children diagnosed with autism spectrum disorders. For one participant, stereotypy decreased when instructors provided standard instruction without specific intervention for stereotypy. For two participants, stereotypy decreased when instructors provided standard instruction plus antecedent intervention for stereotypy with continuous music. For another participant, stereotypy decreased when instructors provided enhanced consequences for correct responding during standard instruction without either antecedent or consequent intervention for stereotypy. For the final participant, stereotypy decreased and correct responding increased when instructors provided standard instruction and consequent intervention for stereotypy.
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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 | 0.006 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".