INFLUENCE OF TEMPORAL CONTEXT IN TWO-CHOICE TIME DISCRIMINATION
Why this work is in the frame
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Bibliographic record
Abstract
Participants were asked to respond as quickly as possible in a two-choice time discrimination task. The short tone (ST) duration was constant across blocks of trials, whereas the long tone (LT) duration varied between blocks. In principle, response time to the ST could be independent of LT duration, as one could decide that the tone is long as soon as the subjective duration corresponding to the ST is over. The results showed instead that as the LT lengthened, reactions times to the ST decreased and reaction times to the LT increased. Performance was more accurate at longer LTs. Errors were found mostly with the ST when reaction times were shorter, whereas errors in late responses were as frequent with the long and short tones; this pattern of results was modulated by LT duration. Our findings show a strong influence of temporal context, even in a simple two-choice time discrimination task.
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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 | 0.001 |
| 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 | 0.001 |
| 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