A community-based treatment for Native American historical trauma: Prospects for evidence-based practice.
Bibliographic record
Abstract
Nineteen staff and clients in a Native American healing lodge were interviewed regarding the therapeutic approach used to address the legacy of Native American historical trauma. On the basis of thematic content analysis of interviews, 4 components of healing discourse emerged. First, clients were understood by their counselors to carry pain, leading to adult dysfunction, including substance abuse. Second, counselors believed that such pain must be confessed in order to purge its deleterious influence. Third, the cathartic expression of such pain was said by counselors to inaugurate lifelong habits of introspection and self-improvement. Finally, this healing journey entailed a reclamation of indigenous heritage, identity, and spirituality that program staff thought would neutralize the pathogenic effects of colonization. Consideration of this healing discourse suggests that one important way for psychologists to bridge evidence-based and culturally sensitive treatment paradigms is to partner with indigenous programs in the exploration of locally determined therapeutic outcomes for existing culturally sensitive interventions that are maximally responsive to community needs and interests.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".