Free Viewing Perceptual Asymmetry for Distance Judgments: Objects in Right Hemispace are Closer than They Appear
Bibliographic record
Abstract
Neurologically normal individuals demonstrate leftward biases in tasks of line bisection and judgments of brightness, numerosity, and size. Normals also report and demonstrate a right-sided bias when bumping into objects. Collectively, these results suggest that normals relatively neglect the right hemispace. The present experiment investigated the possibility that normals will also demonstrate leftward biases for judgments of distance. Participants viewed two equivalent but mirror-reversed three-dimensional shapes ("boxes" and "pyramids") of various orientations, sizes, and angles, making judgments about the perceived closeness of the stimuli. Significant leftward biases were exhibited for judgments of the closeness of boxes, but not for pyramids. The findings of the current study support the hypothesis that the normal tendency to bump into objects with the right side of one's body might be due to a perceptual asymmetry for distance judgments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".