Exploring Local Perceptions of and Responses to Urban Youth 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
OBJECTIVE: Despite widespread prevention efforts, youth violence persists in many urban communities. This investigation explores the unique perspectives and local capacities to address urban youth violence. METHOD: Qualitative in-depth interviews were conducted with prominent neighborhood individuals (PNIs) from low-wealth neighborhoods that varied by risk for youth violence. FINDINGS: Findings reveal examples of increased levels of social action in the designated low risk for youth violence neighborhoods. Similar activities were also present, but to a lesser extent, within the high-risk neighborhoods. Results illustrate how PNIs formally and informally share information and take action to address youth violence. CONCLUSION: PNIs are an often-overlooked resource in gaining local insight for addressing health issues, such as youth violence. The efforts identified exhibit expertise and culturally sensitive opportunities for working together to address youth violence. Understanding such dynamics is essential for informing the development of locally endorsed violence-prevention interventions.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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