Action‐oriented representation of peripersonal and extrapersonal space: Insights from manual and locomotor actions<sup>1</sup>
Bibliographic record
Abstract
Abstract: This paper reviews behavioral evidence demonstrating that space is accurately represented in the brain in relation to action capabilities. We initially review intriguing neuropsychological findings that show that space is differentially represented depending on whether the area is in reach of the hand (peripersonal space) or out of reach of the hand (extrapersonal space). We then review the literature on the characteristics of locomotor actions for avoiding obstacles to show that the relative dimensions of obstacles to relevant body parts are accurately represented at least one step before the obstacles are reached, i.e., while the obstacles are present in the extrapersonal space. The findings obtained from a number of studies on manual and locomotor actions will yield tentative conclusions: (a) the representation of one's body (body schema) is deeply involved in one's representation of space; (b) the representation of space is modified in response to alteration of action capabilities, although this is likely to occur only for well‐learned actions, irrespective of the type; and (c) representation of space centered on the hand somewhat differs from that centered on the whole body.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".