Surfing the attentional waves during visual curve tracing: Evidence from the sustained posterior contralateral negativity
Bibliographic record
Abstract
Mental curve tracing is the process by which a contour is covertly followed between two landmarks. Completion time of this task increases as the distance between the landmarks does, even though the Euclidian distance is constant. This has been taken as evidence that attention does not cover a contour instantly, but rather moves from one point to another until the whole contour has been covered. This article provides an electrophysiological measurement of the time course of this spread of attention in humans using a sustained contralateral posterior negative (SPCN) event-related potential component. This component being elicited only when stimuli are presented laterally, the position of lateralization was varied to modulate the onset of this SPCN. Curves that became lateralized further from the central starting point yielded a later SPCN onset than curves that lateralized nearer. This provides converging evidence that attention moves along the curve.
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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 | 0.000 |
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 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".