Mapping the Journey from the Head to the Heart: Actualizing Indigenization in the Health and Human Services Education
Bibliographic record
Abstract
Camosun College’s commitment to Truth and Reconciliation includes Indigenization. At the College, Indigenization means the world views of Indigenous students are reflected in curriculum practices and non-Indigenous students are prepared to build better relationships with Indigenous peoples. The College uses a number of models to support Indigenization including an Indigenized Quadrant Model based on Wilber’s (1997) Integral theory. This Model is used in this research study to inventory the Indigenization interventions and activities internal and external to the College and examine participation rates by non-Indigenous faculty. At the time of the study, respondents viewed the College as midway on its progress of Indigenization. The results suggest that developing a few activities across the four quadrants of the Model and leveraging relevant activities in the larger community may be sufficient to build an Indigenization program within a post-secondary institute. We also identified a need for more advanced training to support non-Indigenous faculty to fully Indigenize their teaching practices. The focus of this advanced training includes developing skills to address racism and confront privilege not only in their students but also their professions. For administrators wanting to actualize Indigenization, we recommend the continued alignment, monitoring, and measurement of the impacts of Indigenization activities and programs.
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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 | 0.061 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.031 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".