The Moral Psychology of Raceless, Genderless Strangers
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
Moral psychology uses tightly controlled scenarios in which the identities of the characters are either unspecified or vague. Studies with raceless, genderless strangers help to highlight the important structural elements of moral acts (e.g., intention, causation, harm) but may not generalize to real-world judgments. As researchers have long shown, social judgments hinge on the identities (e.g., race, gender, age, religion, group affiliation) of both target and perceiver. Asking whether people generally condemn "shooting someone" is very different from asking whether liberals as opposed to conservatives condemn "a White police officer shooting a Black suspect." We argue for the importance of incorporating identity into moral psychology. We briefly outline the central role of identity in social judgments before reviewing current theories in moral psychology. We then advocate an expanded person-centered morality-synthesizing moral psychology with social cognition-to better capture everyday moral 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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