The Psychology of State Punishment
Bibliographic record
Abstract
ABSTRACT A significant amount of punishment that happens in society is state punishment, that is, third‐party punishment carried out by an organized political community in response to a rule violation. We argue that a complete psychology of punishment must consider state punishment as a distinct form. State punishment is a unique type of punishment because it is a special case of third‐party punishment, pre‐specified to occur after the violation of official rules and policies, carried out by people acting on behalf of a nation or government. State punishment, especially as compared to interpersonal punishment, is regarded as a legitimate form of violence, which communicates not just disapproval but information about procedures and power. Moreover, state punishment is made possible by state rules, which, unlike norms, are formalized, can be fully articulated and are perfectly transmissible across generations. We end the paper with implications for the psychology of punishment more broadly and future directions for better understanding the unique psychology of state punishment.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".