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
Negative gut reactions to harmless-but-offensive transgressions can be driven by inferences about the moral character of the agent more so than condemnation of the act itself. Dissociations between moral judgments of acts and persons emerged, such that participants viewed a harmless-but-offensive transgression to be a less immoral act than a harmful act, yet more indicative of poor moral character. Participants were more likely to become “morally dumbfounded” when asked to justify their judgments of a harmless-but-offensive act relative to a harmful act. However, they were significantly less likely to become morally dumbfounded when asked to justify character judgments of persons who engaged in the harmless-but-offensive transgression, an effect based in part on the information-rich nature of such behaviors. Distinguishing between evaluations of acts and persons helps account for both moral outrage over harmless transgressions and when individuals are (and are not) at a loss to explain their own judgments.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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