Proximal predictors of gun violence among adolescent males involved in 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
The growing public health and legal concerns regarding gun violence has led to a call for research that investigates risk factors for gun violence across a variety of domains. Individual and sociocontextual risk factors have been associated with violence more broadly, and in some instances gun-carrying, however no prior research has investigated the role of these factors in explaining gun violence using longitudinal data. The current study utilized a subsample (N = 161) from the Pathways to Desistance Study, which is a longitudinal sample of serious adolescent offenders to evaluate interindividual and intraindividual differences in relevant risk factors of gun violence. Results suggest that there are a few key proximal individual-level and sociocontextual predictors for gun violence, including witnessing nongun violence, future orientation, and perceived personal rewards to crime. Findings demonstrate the salience of exposure to violence in contributing to gun violence and identify levers of action for public policy. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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 | 0.000 | 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 | 0.001 |
| 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