When Mona Lisa Smiled and Love was in the Air: On the Cognitive Energetics of Motivated Judgments
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
We describe two experiments on the determinants of motivated judgments. They explored the conjoint effects of three factors: (1) dominant judgmental motivation (geared toward accuracy or directional bias), (2) task demands, and (3) the availability of cognitive resources. We find that where a directional motivation is dominant and task demands are high (making biasing difficult), the presence (vs. absence) of resources promotes wishful judgments. Conversely, where accuracy motivation is dominant and wishful judgments are the default, resources reduce the likelihood of their occurrence. Finally, where a directional motivation is dominant and task demands are low (making biasing easy), or where the accuracy motivation is dominant and task demands are high, resources have relatively minor effects on bias.
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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 | 0.002 | 0.002 |
| 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