Further Analysis of the Predictive Effects of a Free-Operant Competing Stimulus Assessment on Stereotypy
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Bibliographic record
Abstract
We conducted five experiments to evaluate the predictive validity of a free-operant competing stimulus assessment (FOCSA). In Experiment 1, we showed that each participant's repetitive behavior persisted without social consequences. In Experiment 2, we used the FOCSA to identify high-preference, low-stereotypy (HP-LS) items for 11 participants and high-preference, high-stereotypy (HP-HS) items for nine participants. To validate the results of the FOCSAs (Experiment 3), we used a three-component multiple schedule to evaluate the immediate and subsequent effects of an HP-LS stimulus, an HP-HS stimulus, or both (in separate test sequences) on each participant's stereotypy. Results of Experiment 3 showed that the FOCSA correctly predicted the immediate effect of the HP-LS stimulus for 10 of 11 participants; however, the FOCSA predictions were less accurate for the HP-HS stimulus. Results of Experiment 4 showed that a differential reinforcement of other behavior procedure in which participants earned access to the HP-LS for omitting vocal stereotypy increased all five participants' latency to engaging in stereotypy; however, clinically significant omission durations were only achieved for one participant. Experiment 5 showed that differential reinforcement of alternative behavior in which participants earned access to the HP-LS stimulus contingent upon correct responses during discrete-trial training reduced targeted and nontargeted stereotypy and increased correct academic responding for all four participants. The potential utility of the FOCSA is discussed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it