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
Abstract Introduction. Previous research has found associations between creativity (or semantic association), schizotypy, and laterality when each of the three pairings has been studied individually, leading to three relatively distinct bodies of literature. Methods. This study attempted to integrate previous research by providing measures of all three constructs in a within subjects correlational design. Participants were 30 undergraduate students who completed four measures of creativity, three schizotypy scales, and a lateralised lexical decision task. Signal detection theory (SDT) was used to analyse the laterality data. Results. Normal individuals with relatively lower SDT response criteria for stimuli presented to the left visual field/right hemisphere had higher schizotypy scores and higher performance on a verbal creativity test. Conclusions. These results extend previous findings by using SDT analyses to show for the first time that individuals scoring higher on certain schizotypy and creativity tests exhibited differences in response criteria to more readily accept right hemisphere responses, rather than exhibiting hemispheric differences in sensitivity (ability). The findings accord with theories proposing that higher schizotypy and creativity may partly arise from a lowering of criteria for evidence and/or from a shift to reliance on processing strategies that are more dependent on the right cerebral hemisphere.
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 | 0.000 | 0.002 |
| 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 | 0.001 |
| 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