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 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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".