Outside Looking In: The Community Impacts of Anti-Lesbian, Gay, and Bisexual Hate Crime
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hate crime scholars have long argued that the harms of hate crime extend beyond the immediate victim to negatively impact the victim's reference community. However, this assertion is speculative and in need of empirical support. Utilizing focus group data from 15 people who identified as lesbian, gay, bisexual, or pansexual, this pilot study explored the extent to which the harms of anti-LGB hate crime spread beyond the immediate victim to impact nonvictims in the LGB community. The findings suggest that anti-LGB hate violence can have profound and negative effects on the psychological and emotional well-being of nonvictims who are LGB and may result in dramatic behavioral change as well. The findings also indicate that hate violence negatively affected participants' decisions to disclose their sexual orientation to others. On a more positive note, however, awareness of such violence may also mobilize some people within the LGB community.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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