Trial-by-Trial Vividness Self-Reports Versus VVIQ
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
The Vividness of Visual Imagery Questionnaire (VVIQ) globally defines an individual according to their propensity to form visual mental imagery. A less frequently used approach to the study of mental imagery is based on self-reports on a trial-by-trial basis. The current meta-analysis consisted of three tests designed to compare the VVIQ and trial-by-trial vividness ratings against more objective criteria to address the predictive validity of these different measure instruments. Test 1 was based on a convenient sample and the calculation of effect sizes using exact p values. Tests 2 and 3 were based on a systematic sample, but while Test 2 used exact p values, Test 3 used effect sizes directly. Trial-by-trial vividness reports demonstrated significantly larger effect sizes than the VVIQ across all three experimental methodologies, with neural measures yielding significantly greater effect sizes than behavioral and cognitive ones. Therefore, we conclude that trial-by-trial self-reports have higher predictive value than VVIQ.
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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 | 0.000 |
| 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