Cultivating a Racialized Practitioner Ethic: A Guide for the Human Services
Bibliographic record
Abstract
In this article, we ask critical questions and reflect upon ethics and praxis for racialized practitioners working alongside Indigenous communities in the human services field. Acknowledging the lack of scholarship across the human services focusing on experiences of racialized practitioners, we include literature from Indigenous and decolonizing studies, social work education, child and youth care (CYC), critical race studies, and women’s and gender studies. This article traces the journey of two racialized, women of colour practitioners in their development of a set of decolonial ethics for working alongside Indigenous peoples and communities. With a focus on the lived implications for racialized practitioners who face ongoing ethical dilemmas in their human services work alongside Indigenous peoples, we look to collaborative and critical conceptualizations for more just and ethical praxis. Core concepts explored include: notions of embracing risk, troubling allyship, and cultivating a decolonial love ethic.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".