Capturing and Unmasking the Mask in the Auditory Attentional Blink
Bibliographic record
Abstract
Key to our understanding of the temporal limits of attention as reflected in the attentional blink (AB)--the failure to report the second of two targets (T1 and T2) presented in close succession--is the detrimental impact of posttarget distractors, accounted for typically by the construct of masking. Within the context of the auditory AB, we tested the notion of masking by seeking to perceptually "capture" the T2 + 1 distractor away from the target-containing sequence to examine whether perceptual organizational factors could, instead, explain the action of T2 + 1. Using monaural sequences of tones, the presentation of T2 + 1 contralaterally to the rest of the sounds produced the AB. However, the AB was abolished when that contralateral T2 + 1 was perceptually grouped with an induction sequence of irrelevant tones presented to the contralateral ear. Such findings are consistent with a selection-based approach to the AB that emphasizes failure of inhibition and misselection while suggesting a diminished role for masking.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".