Schedule control with a synchronous reinforcement treadmill preparation: A replication and extension
Bibliographic record
Abstract
Pinkston et al. (2024) provided 17 participants with their high-preference music for increasing and decreasing their walking speeds on a treadmill. The results showed that high-preference music produced schedule control of walking speed for 14 of 17 (82.35%) participants. In addition, Pinkston et al. found that 78.57% of participants whose walking showed schedule control also displayed variable responding during an extinction component. As an extension of Pinkston et al., we presented 25 participants with their high-preference music for walking on a treadmill during a five-component mixed schedule wherein the synchronous reinforcement components contained larger and nonoverlapping bands for contacting the synchronous reinforcer. Schedule control emerged for 18 of 25 (72%) participants. In addition, 14 (77.78%) participants whose behavior showed schedule control also displayed considerable variability in walking speed during the extinction component. Implications and future research directions for promoting health-related behaviors 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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".