Attributions for serious illness: Are controllability, responsibility and blame different constructs?
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 examined whether judgments of controllability, responsibility, and blame are distinct and sequential psychological constructs. Undergraduates read a brief description of a male with AIDS or lung cancer and rated his controllability, responsibility, and blame in relation to the illness. Participants considered him to be more responsible than blameworthy for his illness, but more in control than responsible for becoming ill. Although measures of participants’ behavioural intentions, emotions, and social attitudes were correlated with controllability ratings, such associations were stronger for responsibility ratings and even stronger for blame ratings. Structural equation models provided additional evidence for an attributional hierarchy in which blame is the final step. Nonetheless, emotional and behavioural responses were more completely explained when attributions were considered jointly with personal and social attitudes.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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