Spirituality, holism and healing among the Lakota Sioux, towards an understanding of Indigenous medicine
Bibliographic record
Abstract
I understand that some things are not meant to be studied. Some things are inherently beyond materialistic examination and evaluation. For many Indigenous people, spiritual leaders, and traditional healers, Indigenous medicine and spirituality are matters that should remain beyond the microscope, beyond study and the written word. The strange path of history however, has made it such that the non-Indigenous study and understanding of Indigenous spirituality and healing has become essential to the healing of Indigenous nations. If non-Indigenous institutions are to provide culturally appropriate care and to support Indigenous systems of healing, a meaningful understanding of Indigenous healing must come first. I have undertaken this project to contribute to the preservation and strengthening of Indigenous healing traditions through education. The maintenance of traditional healing ways is a matter of central importance to many Indigenous nations and carries implications for all people. The health and freedomof one nation shapes the health and freedom of all. In his autobiography, 'Sacred Fireplace,' revered Lakota Holy Man, Pete Catches shares a prayer for his readers. I respectfully offer these good words as a prayer for those who read this: "May the Great Spirit's love, and in His goodness, bless you. The Great Spirit will bless those people who may read this book. I pray He will implant in their hearts a love and compassion for the sick. If we can each in our own way, and according to our own means, be able to lend a hand to others, then we know that we live in the light of the Great Spirit."
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".