I Place My Hand in Yours: A Social Justice Based Intervention for Fostering Resilience in Street Life Oriented Black Men
Bibliographic record
Abstract
Despite some political, economic, and social gains, an overwhelming number of Black men in the United States face daily threats to their physical and psychological well-being. Although there have been calls for increased training in cultural competence in the fields of mental health, education, and medicine, the steadily increasing rates of racial disparities in these fields indicate that there remains a need to develop effective strategies to engage, treat, and foster resilience in marginalized communities. The authors offer Sites of Resilience (SOR) (Brown, 2004; Payne, 2001, 2005, 2006) as the theoretical lens for better understanding resilience and the Cultural Context Model (CCM) (Almeida, 1998, 2003; Almeida, Dolan-Del Vecchio, & Parker, 2008) as a clinical model for engaging and treating street life oriented Black men in need of mental health services. A clinical case study of “Kode” illustrates how SOR theory and the CCM can be applied to create a therapeutic milieu that promotes healing and liberation. These approaches may increase client engagement, retention, as well as bolster street life oriented Black men's ability to better negotiate their environments.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".