Gender Differences in Attitudes Toward Police Use of Tasers Following the Dziekanski Case
Why this work is in the frame
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Bibliographic record
Abstract
Prior research has shown that men and women respond differently on a variety of behavioral, attitudinal, and affective measures related to agentic and communal interpersonal orientation, yet research on such measures seldom disaggregates findings by gender. The present study examined how gender moderated a range of affective and cognitive responses to an important social and policy issue—police use of Tasers. The study followed the Dziekanski case in which an émigré to Canada died after being repeatedly stunned with a Taser by police officers. Compared to men, women were significantly more opposed to police Taser use, they were likelier to blame police for Dziekanski's death, and they reported stronger emotional responses to the case. The findings extend support for the view that men and women exhibit different patterns of response to situations that evoke communal values, and they highlight the importance of theoretical guidance in disaggregating responses in opinion research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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