Guns and Sublethal Violence
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
This study is the first in Canada to examine gun usage and harm to others, with original interview data, and aims to identify the correlates of sublethal violence among at-risk youth in Toronto and Montreal. Toronto youth showed 50% higher levels of this violence than Montreal youth. Despite having a common profile of conduct disorder and prior delinquency, Toronto youth were more involved in drug selling and the crack trade, and Montreal youth more likely involved in gang fighting. Ready access to firearms was reported in both locales but faster in Toronto. Logistic regression analysis for predicting using a gun to threaten or try to harm others found that drug selling was only significant in Toronto, while involvement in the crack trade and gang fighting was significant in both cities. Being able to obtain a gun in <3 hours was also significantly associated with this violence outcome in both sites. Actually harming someone with a weapon showed fewer common factors, with only gang fighting being significant in both cities. The importance of examining local patterns of youth violence, and the need for more research to assess the meanings youth impart to guns, is emphasized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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 it