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
Current theories of decision processing in a wide variety of binary choice tasks posit some form of evidence accumulation over time until a threshold or criterion is reached. In the context of discrimination of visual extent, we show that evidence accrual criteria for any particular stimulus pair are dependent upon the overall, global, difficulty context. In particular, response times (RTs) on a target set of stimulus pairs of moderate difficulty were increased when embedded in a difficult context. Moreover, when easy to discriminate pairs were included along with difficult pairs, RTs were the same as when in a difficult context alone, consistent with the additional finding that target pair RTs were uninfluenced by the inclusion of easy pairs. Thus, the most difficult stimulus pair encountered over the course of the experiment controls evidence accrual criteria. The absence of contextual effects on either discriminative accuracy or confidence ratings is also entirely consistent with the Slow and Fast Guessing theory (Petrusic, 1992) based views of contextual difficulty effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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