“When I Spoke, I Spoke From the Heart”: Empirical Insights and Therapeutic Lessons From an Indigenous Counseling Center
Bibliographic record
Abstract
Indigenous Peoples in Canada experience inequities in behavioral health outcomes stemming from colonial subjugation, including tacit cultural assimilation through health care. Indigenous communities assert that culturally commensurate health interventions improve wellbeing. This study, conducted with clients and staff at a First Nations behavioral health treatment program, sought to identify how respondents conceived of the therapeutic endeavor with respect to possibilities for remedying colonial injuries such as the abuses of the Indian Residential Schools (IRSs). Thematic analysis of 32 interviews revealed that targeted therapeutic goals as well as specific counselor qualities were important for a positive therapeutic experience for those in the program. Ultimately, assimilative practices, such as the IRSs of the past and mainstream behavioral health treatment programs in the present may collectively contribute to the continuation of inequities in health outcomes for Indigenous Canadians. Decolonizing the therapeutic endeavor offers a potential avenue for positive change.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.037 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.005 |
| 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".