Bibliographic record
Abstract
To survive, we must interact with an ever-changing world. Our capacity to move accurately in a range of environments lies in the brain's ability to flexibly modify our motor behavior. For example, simply holding an object in the hand changes the arm's dynamic environment. That is, the additional weight of the object changes the relationship between applied forces and motion such that the brain's motor commands and muscle forces no longer result in the intended arm movement. In order to skillfully manipulate the object, the brain must alter its motor commands to compensate for the object's weight and achieve a desired movement. Subsequent movements are improved with time and practice; this process is called motor learning. While many of our motor skills are acquired and refined through active physical practice, we can also learn how to make movements by observing others. This is referred to as observational motor learning. This chapter will begin with a brief overview of modern studies of human motor learning, followed by a discussion of how these concepts relate to observational motor learning.
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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 | 0.000 |
| 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) | 0.001 | 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".