Mapping the “Forbidden Zone” near and Away from the Fixation Point
Bibliographic record
Abstract
Burt and Julesz modified the classical view of Panum's fusional area by incorporating the concept of the disparity gradient. They found that an area of double vision, described as the forbidden zone for single vision, is present when the angular separation between two objects is small. However, Krol and van de Grind argued that Burt and Julesz's finding could be explained by the classical theories (specifically Ogle, 1932 JOSA 22 664-728) in which the probability for fusion is a function of peripheral angle and disparity magnitude. We examined whether a forbidden zone can be specified within Ogle's experimental space. We found forbidden zones (a) when fixation was placed on one of the two objects and (b) when fixation was placed away from both objects. Krol and van de Grind's arguments do not easily explain the results in (b). The size of the forbidden zones was less than the predicted disparity gradient of unity that Burt and Julesz found in their experiment.
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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 | 0.001 | 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 | 0.001 |
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 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".