Effects of Response Priming and Inhibition on Movement Planning and Execution
Why this work is in the frame
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Bibliographic record
Abstract
The authors used a precueing method to examine the effects of response priming and inhibition on goal-directed action. Participants (N = 18) completed aiming movements to 1 of 2 locations following predictive (80% cued), nonpredictive (50% cued), and antipredictive (20% cued) precues at 1 of the 2 possible target locations. Consistent with previous research, participants responded more quickly to targets at cued locations than to targets at uncued locations in the 80% condition, and more quickly to targets presented at the uncued than to those presented at cued locations in the 50% and 20% conditions. As predicted by models of action-centered selective attention, movement trajectories deviated away from the cued location in the 50% condition. Movement trajectories were also altered in the 80% and the 20% conditions. Movements directed to the uncued location deviated away from the cued location in the 80% condition, whereas movements directed to the cued location deviated away from the uncued location in the 20% condition. The authors explain the latter trajectory results as a strategy of overcompensation.
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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 | 0.000 | 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