Healing the Collective: Community-Healing Models and the Complex Relationship Between Individual Trauma and Historical Trauma in First Nations Survivors
Bibliographic record
Abstract
Community-healing models (CHMs) are effective approaches in addressing intergenerational, historical, and racial traumas within American Indian–Alaska Native (AI/AN) individuals, families, and communities. While medical models of healing and White evangelical scholarship have favored individual approaches to change, growing evidence in support of CHMs in outcome research and evangelical theology is presented. CHMs understand the importance of the context in which problems develop and are sustained and consequently are uniquely suited to address the systemic nature of historical trauma and how intergenerational and racial trauma impacts People of Color and Indigenous individuals (POCI). The application of sovereignty, spirituality, and communal grief for AI/AN trauma survivors is explored. The role of community in individual identity and healing is explored as a biblical theme by both prominent White evangelical theologians and POCI Christians. The efficacy of CHMs in treating trauma within AI/AN communities provides hope for restoration within other cultural groups.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".