Measurement of nontargeted problem behavior during investigations of resurgence
Bibliographic record
Abstract
Resurgence occurs when a previously extinguished behavior reemerges once a more recently reinforced behavior is placed on extinction. Previous research has suggested that nontargeted responses within the same response class recur alongside target-response resurgence (e.g., da Silva, Maxwell, & Lattal, 2008; Lieving, Hagopian, Long, & O'Connor, 2004). The purpose of this two-experiment investigation was to examine target response resurgence while simultaneously measuring the occurrence of nontargeted responses. Three children diagnosed with autism spectrum disorder who displayed multiple topographies of problem behavior participated. In Experiment 1, a three-phase resurgence procedure was conducted and all three participants displayed target-response resurgence accompanied by the emergence of nontargeted forms of problem behavior. These findings were replicated in Experiment 2 using a 30-min assessment procedure. The implications of these findings as they pertain to the treatment of severe problem behavior and utility of a brief relapse assessment are discussed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".