Top-Down Influences in the Detection of Spatial Displacement in a Musical Scene
Why this work is in the frame
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Bibliographic record
Abstract
We investigated the detection of sound displacement in a four-voice musical piece under conditions that manipulated the attentional setting (selective or divided attention), the sound source numerosity, the spatial dispersion of the voices, and the tonal complexity of the piece. Detection was easiest when each voice was played in isolation and performance deteriorated when source numerosity increased and uncertainty with respect to the voice in which displacement would occur was introduced. Restricting the area occupied by the voices improved performance in agreement with the auditory spotlight hypothesis as did reducing the tonal complexity of the piece. Performance under increased numerosity conditions depended on the voice in which displacement occurred. The results highlight the importance of top-down processes in the context of the detection of spatial displacement in a musical scene.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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