Culturally competent trauma-informed practices benefit survivors and investigations
Bibliographic record
Abstract
This study presents findings from an examination of trauma-informed investigative practices within the Sexual Assault Unit (SAU) of the Charlotte-Mecklenburg Police Department (CMPD). Through a comprehensive analysis of sexual assault cases and key informant interviews, the study explores the impact of cultural competency on investigative processes and the provision of support services to survivors. The findings underscore the critical importance of cultural sensitivity in shaping both the investigation and the delivery of victim-centred care. While the SAU demonstrates a commitment to trauma-informed practices, there remains a need for expanded methodologies to fully understand and develop culturally sensitive approaches. Furthermore, the study highlights the importance of considering culturally relevant intergenerational trauma in addressing the needs of survivors. Moving forward, research to enhance trauma-informed practices must prioritize the integration of cultural competency across all facets of the investigative process to promote healing, empowerment, and justice for survivors of sexual assault.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.002 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".