Older adults just can't look away: Age-related changes in saccadic trajectory curvature
Bibliographic record
Abstract
There is considerable evidence that the ability to inhibit irrelevant information declines as people grow older. In the present research we investigated whether such an inhibitory deficit extends to the systems responsible for the control of saccadic eye movements. Participants made saccades to a visual target that appeared concurrently with a distractor, and saccadic latencies and trajectories were recorded. Consistent with earlier findings, younger adult's early-onset saccades curved towards the distractor (as the distractor competed with the target for response selection) while late-onset saccades curved away from the distractor (as the distractor location became inhibited over time). In contrast, older adults' saccades always curved towards the distractor, indicating they were unable to inhibit the distractor in the same manner as the younger adults. This demonstrates that, as people age, they lose the ability to prevent their eyes from being drawn to irrelevant visual distractors. As the location of gaze plays a dominant role in determining what information in the visual field is processed, this finding has important implications for changes in the efficiency of visual processing with age.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".