Detecting Target Identity—Location/Response Binding in Visuo-spatial Tasks Using a Cueing Procedure: An Exploratory Study
Bibliographic record
Abstract
We aimed to determine the suitability of a “new” procedure for detecting the existence of binding between a target’s identity and its location/response during its processing on a prime trial in a visuo-spatial task. Importantly, the method involved cueing the impending likelihood of a binding violation on a subsequent probe trial. If the latency increasing impact of a binding violation can be reduced or removed when the cue proved to be valid, RT reductions for Conditions that involved a binding violation would show a larger latency decrease than those which did not (relative to uninformative cue trials). This result pattern did not occur, even though data showed that the cue information was used for preparation (RT [valid cue] RT [invalid cue]). Either a target identity—location/response binding does not occur, or advance knowledge of its impending violation does not modulate the violation’s latency increase impact. In any event, the use of the cue procedure employed here to detect binding is not a viable one.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".