MOCK JUROR RATINGS OF GUILT IN CANADA: MODERN RACISM AND ETHNIC HERITAGE
Why this work is in the frame
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Bibliographic record
Abstract
This research investigated whether the prejudicial attitudes of mock jurors in Canada produce criminal sanction disparities similar to those reported by research in the United States. In order to investigate this hypothesis, English Canadian participants read a transcript of a sexual assault trial that varied the ethnic background of both the victim and the defendant (i.e., English, French or Native Canadian). Participants were then asked to rate the guilt of the defendant in two ways: (1) on a 7-point bipolar scale in accordance with their personal beliefs (i.e., Subjective Guilt Rating), and (2) on a dichotomous scale (guilty/not guilty) in accor- dance with judicial instructions (i.e., Legal Standard Guilt Rating). Participants were also asked to rate the victim and defendant on a number of personality traits. Results indicate that participants asked to rate the degree of guilt of the defendant according to the Subjective Guilt Rating found him more guilty if he was French, or Native Canadian as opposed to English Canadian. These prejudicial ratings, however, dissipated when participants were asked to rate the guilt of the defendant according to the Legal Standard Guilt Rating that included jury instructions. This apparent paradox in results is discussed in terms of modern racism theory.
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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 | 0.001 | 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) | 0.000 | 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