Auditory statistical learning: predictive frequency information affects the deployment of contextually mediated attentional resources on perceptual tasks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Statistical learning is a general phenomenon in which environmental regularities are implicitly acquired through repeated exposure to those environments. Sometimes, that information can be utilised to affect various aspects of cognitive performance (e.g. reaction time) on tasks that utilise selective attention (e.g. visual search). In the current study, we examined the effect of passively listening to predictive auditory contexts in facilitating attention to a certain frequency or frequency range. In doing so, we found that there is a general tendency for attentional resources to be negatively affected when the context sequences are made novel after context–target associations have been formed (Experiment 1), and when the context no longer reliably cues the previous target (Experiment 2). The experiments are framed to contrast Associative Learning and Memory Hypothesis perspectives.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it