Bibliographic record
Abstract
The contribution of ventral stream information to the variability of movement has been the focus of much attention, and has provided numerous researchers with conflicting results. These results have been obtained through the use of discrete pointing movements, and as such, do not offer any explanation regarding how ventral stream information contributes to movement variability over time. The present study examined the contribution of ventral stream information to movement variability in three tasks: Hand-only movement, eye-only movement, and an eye-hand coordinated task. Participants performed a continuous reciprocal tapping task to two point-of-light targets for 10 seconds. The targets were visible for the first five seconds, at which point vision of both the targets and the limb was occluded by liquid crystal goggles. Movement variability was similar in all conditions for the initial 5-second interval. The no-vision condition (final 5-seconds) can be summarized as follows: Ventral stream information contributed to an initial significant increase in variability across motor systems, though the different motor systems were able to preserve ventral information integrity differently. The results of these studies can be attributed to the behavioural and cognitive mechanisms that underlie the saccadic and manual motor systems.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".