Indigenous Storywork as a Basis for Curricula That Educate the Heart, Mind, Body, and Spirit
Bibliographic record
Abstract
Abstract Indigenous storywork is a multifaceted framework of seven principles for working with Indigenous traditional-cultural and life-experience stories for educational, curricular, and research purposes. The principles include respect, responsibility, reverence, reciprocity, holism, interrelatedness, and synergy. These Indigenous storywork principles were developed through research with Indigenous Elders, storytellers, and cultural knowledge holders who were mainly, but not exclusively, from British Columbia, Canada. The principles of respect, responsibility, reverence, and reciprocity prepare educators, curriculum developers, and students to understand the epistemological aspects of Indigenous stories such as their nature and purposes. Developing cultural contextual considerations that influence the respectful representation and telling of stories; enacting ethical responsibilities for the stories, storytellers, and story listeners-learners; creating reverential teaching and learning spaces for Indigenous stories; and developing reciprocal relations that sustain Indigenous stories are examples of preparatory education for Indigenous storywork. The principles of holism, interrelatedness, and synergy facilitate pedagogical processes of working with Indigenous stories to create and spark meaning-making with the stories. The circle of Indigenous storyworkers has expanded from Canada to the United States, New Zealand, and Australia. These storyworkers share how aspects of Indigenous storywork are used for curriculum purposes in kindergarten to grade 12 school subjects, such as math, science, and literacy, as well as in university programs, such as teacher education. Decolonizing and Indigenizing approaches is an integral part of the preparation of future Indigenous storyworkers. A critical examination and understanding of the colonial impact of laws, policies, and education on Indigenous peoples, their Indigenous knowledge systems, and Indigenous stories is needed to move to Indigenizing approaches where the Indigenous community members, Elders, youth, educators, and allies work cooperatively for curricular purposes. Indigenous storywork is a means for these approaches. Together Indigenous storywork principles form a basis or foundation for curricula that educates the heart, mind, body, and spirit.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".