The stability zone of motion parallax with head movements for different velocity gradients
Bibliographic record
Abstract
The stability zone refers to a zone between the concomitant-motion threshold and the depth threshold of motion parallax driven by head movements. In this zone, depth is seen but not motion (i.e., location constancy holds). Ono and Ujike (2005, Perception, 34, 477–90) determined the extent of the stability zone for a stimulus with four horizontal bands of grating. In their stimulus, the adjacent bands moved in opposite directions and the movement of the bands was slaved to the head movement. In this study, we measured the stability zone for stimuli with the four different velocity gradients examined by Rogers and Graham (1979, Perception, 8, 125–34). We found that a different stability zone exists for each gradient, although the sizes of the zone for stimuli with sine and triangle gradients were similar to each other. Moreover, the concomitant-motion thresholds for the stimuli with the sawtooth and square gradients were lower than those for the sine and triangle ones, and therefore the zones were smaller. This result suggests that stimuli with gradients that contain abrupt changes have smaller stability zones.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".