Developmental trajectory of pseudoneglect in adults using the greyscales task.
Bibliographic record
Abstract
Neurologically healthy adults display a reliable but slight leftward spatial bias, and this bias appears to change with age (Jewell & McCourt, 2000). Studies using line bisection and the landmark task to investigate pseudoneglect in participants over 60 years of age have shown suppression and near reversal of the leftward response bias. The current research investigates the developmental trajectory of perceptual biases using the greyscales task-a task that exhibits strengths compared to the line bisection and landmark task, as it generates a stronger and more consistent bias. Participants ranging from 18 to 88 years of age viewed 40 asymmetrical equiluminant gradient pairs with each stimulus appearing darker on the left and right side. Overall, a negative correlation was found between a leftward response bias and age, r(492) = -.154, p < .001, with the oldest age group (80-89 year olds) exhibiting a significantly stronger leftward bias compared to youngest age group (18-29 year olds), p = .016. These findings are in contrast with previous research proposing a reduced bias in perceptual attention among older adults, and suggest that further research is needed to understand the reliability of age-related changes in spatial attention. The findings also contribute to the understanding of developmental changes in allocation of spatial attention over the adult life span. (PsycINFO Database Record
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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 | 0.000 | 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".