A Drop in the Ocean: How Priors Anchor Attitudes Toward the American Carceral State
Bibliographic record
Abstract
Abstract That black and white Americans disagree about the carceral state is well established; why this is the case is much less clear. Drawing on group hierarchy theory and the state's role in perpetuating group subordination/domination, we theorize that differences in socialization and contact during emergent adulthood produce divergent priors for racial groups and gender subgroups within race. These different starting points shape how people integrate new information from recent contact into their belief systems. Using a survey of over 11,000 respondents, we find that, instead of all groups integrating information the same way, recent direct contact contributes most to negative attitudes among groups whose contact with government agents is least negatively valenced. While interactions with the American carceral state divide opinions considerably among white Americans and women, adulthood contact for black Americans, especially black men, appears to be but ‘a drop in the ocean’ of political life.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 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".