A Journey Toward Self-Reconciliation via Indigenous Wisdom Unraveling Identity: A Contemporary Issue in Nursing
Bibliographic record
Abstract
The author delves into the intricate layers of identity and responsibility as experienced by an Asian immigrant in Canada. The author grapples with the complexities of being simultaneously an outsider and a participant in settler colonial dynamics. The narrative traces the author's evolving comprehension of her settler identity. With an acknowledgment of her unexamined role within the settler-Indigenous paradigm, heavily influenced by personal and familial histories of colonization in Korea, the author embarks on a journey of discovery. Drawing parallels between intergenerational traumas endured by Koreans during Japanese occupation and those experienced by Indigenous Peoples in Canada, this essay uncovers a sense of solidarity and prompts a critical re-evaluation of her position as a settler by challenging prevailing representations that often overlook non-European immigrants. A crucial moment in the author's transformation arises from encountering the work of Indigenous Scholar Dr. Baker (2021), shedding light on environmental and epistemic injustices that intersect with the author's familial ties to the Canadian oil industry. This recognition of complicity within settler colonial structures sparks an ethical and professional crisis, catalyzing a profound reassessment of her role within these dynamics. Central to the narrative is the concept of “unlearning” from Taoist philosophy, which advocates the dissolution of preconceived notions to attain an authentic understanding of reality. This philosophical journey intertwines with Foucauldian reflections on power and knowledge, framing the author's evolution toward a more ethically aware and culturally safe nursing practice. This essay calls for a decolonized approach to nursing. The author contributes to discourses on Asian settler colonialism within the settler-Indigenous dichotomy. Via this introspection, the author offers insights into how non-European immigrant nurses can engage in decolonization by promoting a model of inclusive practice particularly for those marginalized by historical injustices. • Explores the complexities of settler colonial dynamics through the lens of an Asian immigrant nurse in Canada • Calls for a decolonized nursing practice by emphasizing the integration of Indigenous Perspectives and cultural safety • Highlights the transformative journey toward more ethically aware and culturally safe nursing practice • Offers insights into the role of non-European immigrant nurses in actively engaging in decolonization efforts • Provides a critical reflection on the importance of continuous self-reflection and ethical engagement in nursing practice
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".