The Use of Online Control: A Developmental Perspective
Bibliographic record
Abstract
To date very little research has addressed the abilities of young participants to respond to a change in visual information provided during movement execution. This study attempted to determine the ability of 45 participants (5, 7, 9 years) to respond to a change in visual information during a discrete rapid aiming movement. A perturbation paradigm where the target size changed after movement onset was used. In the control context, movements were made to each target size (small, medium, large) with no perturbation. In contrast, during the experimental context the target always began as a medium target. Upon movement initiation, the target size could remain constant or might unexpectedly become larger or smaller. Temporal, kinematic, and correction data were collected to determine the control process underlying the aiming movement. No interaction was found between age and condition for movement time (MT), and results indicated that all ages scaled movement time to final target size. The accuracy data revealed the 9-year-old participants were more accurate than the 5- and 7-year-old participants. To determine where the changes in duration were made, the time to and after peak velocity (TTPV, TAPV), and peak velocity values (PV) were examined. The PV values indicated that, during the control context, the participants scaled their movement to the target size. However, during the experimental condition generally no significant differences were found in either measure, suggesting a programmed response based on the original target size. This was supported by the correction data collected prior to peak velocity, lending further support to a programmed response. Following peak velocity, it was found that differences in MT were as a result of time spent in deceleration. This increased TAPV, and increased number of corrections observed, suggest that all participants were using on-line control following peak velocity in response to the change in visual information. The data collected supports a model of control that incorporates both open-loop control during the initial impulse phase, and closed-loop control during the current control phase for participants as young as 5 years.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".