The Development of Selective Inhibitory Control Across the Life Span
Bibliographic record
Abstract
A modification of the stop-signal task was used to investigate the development of selective inhibitory control. A group of 317 participants, age 6 to 82 years, performed a visual choice reaction time (go) task and attempted to selectively inhibit their response to the go task when hearing one of two randomly presented tones (1000 Hz, 250 Hz), each presented on 20% of trials. Measures of response execution and inhibition were assessed by using reaction times to the go signal (GoRT) and stop signal (SSRT), respectively. Results indicated that SSRT gets faster with increasing age throughout childhood, with pronounced slowing in older adulthood. In addition, strong evidence was obtained for age-related speeding in GoRT throughout childhood, with marked slowing throughout adulthood. Subsequent hierarchical regression analyses illustrated that the age-related changes in selective inhibitory control could not be explained simply by overall slowing or speeding of responses. Findings are discussed in regard to the decay and maturation of selective inhibitory control across the life span.
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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 | 0.002 |
| 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) | 0.001 | 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 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".