After innocence: Perceptions of individuals who have been wrongfully convicted
Bibliographic record
Abstract
Purpose Although it is easy to assume that individuals who have been wrongfully convicted are stigmatized, research has not systematically examined this issue. This research compares perceptions of individuals who have been wrongfully convicted to perceptions of offenders to investigate the stigma that wrongfully convicted persons report. Method Participants were randomly assigned to complete surveys regarding their attitudes, stereotypes, and discrimination tendencies towards one of three different groups: individuals who were wrongfully convicted of a crime, actual offenders, or people in general (control). Results Results suggested contemptuous prejudice towards offenders and wrongfully convicted persons. In comparison to the control group, individuals who had been wrongfully convicted were stereotyped more negatively, elicited more negative emotions, and were held at a greater social distance. Although participants did report greater pity for wrongfully convicted persons than others, this pity did not translate into greater assistance or support. Conclusions Perceptions of wrongfully convicted persons appear similar to negative, stigmatized views of offenders. Individuals faced stigma and discrimination even after exoneration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".