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
Just as with threats to personal identity, people defend against social identity threats. In the context of intergroup injustice, such defensiveness undercuts collective guilt and its prosocial consequences. The current research examines whether group affirmation allows perpetrator groups to disarm threat without undermining guilt. In Study 1, men accepted greater guilt for gender inequality after affirming the ingroup. Given the distinction between collective guilt and collective shame, Studies 2-4 assessed both emotions and revealed that Canadians accepted greater guilt and shame over the mistreatment of Aboriginals following group affirmation. In Study 3, group affirmation also moderated the relation of each emotion with reparatory attitudes. When controlling for each other, collective shame predicted compensation in a nonaffirmation control condition whereas guilt predicted compensation once identity threat had been disarmed by group affirmation. In Study 4, the effect of group affirmation on the collective emotions was mediated by defensive appraisals of the injustice.
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 | 0.000 |
| 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) | 0.004 | 0.001 |
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