Yoked Versus Self-Controlled Practice Schedules and Performance onDual-Task Transfer Tests
Bibliographic record
Abstract
The authors examined yoked versus self-controlled practice schedules to determine their influence in immediate and delayed dual-task performance. The task was to propel a small disc along a smooth table top, with the purpose of stopping it in a specified target area. Participants in the self-controlled schedule group chose the order in which eight acquisition targets, differing in distance from a home position, were practiced during acquisition. Members of a control group followed identical schedules to yoked participants in the self-controlled group. The authors hypothesized that those in the self-controlled group would perform with less error on retention and transfer tests and with more error on dual-task transfer tests in comparison to those in the yoked group. No differences in performance on retention, transfer, or dual-task tests were found. Possible reasons for the similar performance between groups include the provision of choice over blocks of rather than individual trials and feelings of autonomy in both groups due to choice as to how to propel the disc.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".