Bibliographic record
Abstract
The goal was to explore the relation between attentional control and response control. To do this, we manipulated the difficulty of a perceptual task and examined the impact on response control. A letter search task was used with letters potentially appearing in any of eight equally eccentric locations distributed in a circular array around fixation. Perceptual load was manipulated via set size (2, 4, or 8 letters). The colour of each letter was randomized (blue or red). The colour of the target letter (X) determined the response. For half of the subjects, a red target required a congruent response (target on left = left-hand keypress; target on right = right-hand keypress), whereas a blue target required an incongruent response (target on left = right-hand keypress; target on right = left-hand keypress). As expected, increases in set size slowed response times. Furthermore, incongruent responses produced slower responses than congruent responses. Critically, there was no interaction of perceptual load and response control suggesting that the perceptual difficulty of the task had no impact on response control.
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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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".