Can Spiritual Ecograms be Utilized in Mental Health Services to Promote Culturally Appropriate Family and Couples Therapy with Indigenous People?
Bibliographic record
Abstract
Research addressing the potential utilization of spiritual ecograms with Indigenous families and children, specified by experienced professional in the field of Native-American psychology, was critiqued and reviewed in order to attend to its influence and applicability regarding the literature of Indigenous family therapy, and how it could be beneficial in therapy with Indigenous families. The literature review presents an effective tool, providing an in-depth exploration of spiritual strengths of the family and or children that incorporates spirituality into techniques commonly used in family therapy practice. Study results (Limb & Hodge, 2011) show that this tool is consistent with Native-American culture (Brucker & Perry, 1998; Green, 2010; Paniagua, 2005; Trujillo, 2000) and highlights many beneficial qualities for its utilization in practice. Limitations and recommendations for future research are also discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".