Words that Come Before All Else: An Embodied Decolonizing Praxis
Bibliographic record
Abstract
Abstract: In this article, we consider the communal practice of reading the Haudenosaunee Thanksgiving Address: Ohen:ton Karihwatehkwen as an entry point into anti-racism work in nursing education. We describe how this practice, inspired by Kimmerer’s (2013) Braiding sweetgrass: Indigenous wisdom, scientific knowledge and the teaching of plants, creates brave and generative spaces for students and educators to engage in difficult conversations about settler colonial violence and its ongoing impacts on Indigenous Peoples. We consider a broad theoretical overview of the history and practice of the Thanksgiving Address and how as a decolonizing practice, it works to counter the colonial logics that often dominate western academic institutions. The intentional and embodied practice teaches us about our kinship responsibilities, moves us toward a renewed relationship with the human and more-than-human world, cultivates gratitude, reciprocity, and a sense of belonging, and prepares us to engage in anti-racism work.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.036 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".