Relational Accountability: A Path Towards Transformative Reconciliation in Nursing Education
Bibliographic record
Abstract
This paper provides a vision for working towards relationally accountable transformative reconciliation in nursing education. The author shares the teaching gifts she has received from Indigenous Knowledge Holders and through her experience of co-facilitating Indigenous-led, land-based, wellness-oriented field schools. It offers a way forward for nurse educators who are searching for ways to responsibly and meaningfully address colonial harms and actively engage in ethical, accountable, and respectful relations with Indigenous People and Knowledges. The vision starts with transforming ourselves through bearing witness and experiencing the vulnerability of cultural humility. It requires us to transform our relationships through reframing our existing theories and practices and enacting pedagogies that are uplifting with love. Finally, we can transform our practice by engaging in relationally accountable and ecologically reciprocal relationships with Indigenous People and communities. This vision is for nurse educators to enact a sacred practice with the potential to transform our systems and our institutions for the well-being of all people and communities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".