Bibliographic record
Abstract
This chapter focuses on the relation between perceptual/cognitive systems and motor/action processes. Beginning with a brief review of this concept, different characterizations of the idea of perceptual and motor relations are traced, using the history of motor development research as a framework. Following a discussion of more recent conceptualizations of perceptual and motor relations, this chapter then reviews the impact of the idea of perceptual–motor integration across a range of developmental domains. Specifically, research and theory on the importance of perceptual–motor integration is examined in a set of obvious and nonobvious areas of application. The obvious domains in this regard are derived from work in motor development and include reaching, postural control, and locomotion. The nonobvious domains of application are topics that have typically been approached from a more cognitive perspective and include tool-use development and the growth of spatial orientation and spatial updating. The research reviewed strongly supports the concept of perceptual and motor systems being functionally integrated earlier in life, with such perceptual–motor integration playing a key role in understanding developmental processes across various domains of application.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".