Pathway 1 Centring Indigenous Worldviews
Bibliographic record
Abstract
The Medicine Wheel forms a conceptual framework for the culturally responsive and socially just (CRSJ) counselling pathways and practices in this book. In this first pathway, the focus is on honouring Spirit (visioning and opening) as the authors centre Indigenous worldviews as a starting place for walking alongside all clients and cultural communities. Along this pathway these and other collaborating authors introduce three practices as a foundation for the conceptual and applied practice learning throughout the rest of the book: positionality, decolonization, and Etuaptmumk, which is also known as Two-Eyed Seeing. Centring Indigenous worldviews disrupts the normalization of eurocentric approaches to health, healing, and care and opens the door to multiple perspectives on health, healing, and care. Melissa, Sandra, and Jessie are grateful for the learner-centred perspective of Cheyenne Johns that reinforces the importance of embracing pluralism within counsellor education, theory, research, and practice. ● Chey speaks to the critical need for social justice-oriented counsellor training in her reflection on the invisible work that she and many other racialized students perform within higher education institutions that uphold eurocentric ideologies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".