Gum yan asing Kaangas giidaay han hll guudang gas ga. I Will Never Again Feel That I Am Less Than: Indigenous Health Care Providers’ Perspectives on Ending Racism in Health Care
Bibliographic record
Abstract
Racism toward Indigenous Peoples continues to permeate throughout the health care system, a reality the authors know all too well in their shared and yet unique personal and professional experiences. Although acknowledging and speaking up against racial injustice is daunting, and is often met with disregard or inaction, the authors contend that this is a necessary undertaking to redress the ongoing harms of colonialism. Correspondingly, those who do not speak up must not have their voices silenced. Instead, the perspectives that Indigenous Peoples have regarding their own experiences of racism must be heeded seriously and produce real and tangible solutions. In narrating their own encounters of confronting and challenging racism, the authors juxtapose activism and resistance with the preservation of Indigenous Knowledge as a catalyst for propelling the necessary changes forward within health care to end racism. To be truly impactful, all efforts taken to address racism must occur alongside advancing equity of care and human rights for and by Indigenous Peoples at individual, community, and systemic levels. Changes are not needed after more evidence. The time to act is now.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".