A Review of Gary Geddes’ Medicine Unbundled: A Journey through the Minefields of Indigenous Health Care'
Bibliographic record
Abstract
Author and poet Gary Geddes surveys the state of health care for the Indigenous peoples of his Canadian homeland, showing that recent efforts to redress decades of systemic extermination and subjugation -perpetrated extensively through health care and educational agencies -indicate a long road ahead.Through interviews with several Indigenous individuals across the country, Geddes (a non-Indigenous, self-described "paleface") shares the experiences of those whose encounter with Western medicine and its attendant culture has been characterized by extreme violation, neglect, and marginalization.At the same time, Geddes concludes from his conversations with Indigenous interviewees that "the sharing of personal experiences provides a way of releasing...hope and its healing powers." 1 Geddes adds to an expanding and evolving body of work on restorative justice for Indigenous peoples, where dialogue between both Indigenous and non-Indigenous perspectives is slowly being forged.In a sense, Geddes' current trek continues his previous journey through the African continent, detailed in Drink the Bitter Root: A Search for Justice and Healing in Africa, where he reflected on the global economy's ethical and environmental impact upon African nations.Weaving personal narratives with historical highlights, Geddes unearths the root causes underlying Indigenous health care's horrific record -specifically racism, colonialism, and greed.The encounter between Indigenous peoples and European settlers throughout North America was predicated on the latter's goal of acquiring land and resources, and either eliminating or assimilating its native residents in the process.In Canada, a series of legislative efforts eventually produced the Indian Act of 1876, implemented less than ten years after the nation was formally established by the British Parliament. 2 The Indian Act sought to define Indigenous identity and the rights accorded thereto; although it specifies governmental responsibilities to Indigenous peoples, the act has been aptly described as a "paradoxical document that has enabled trauma, human rights violations and social and cultural disruption for generations of First Nations peoples."
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".