Evidence of Co-learning through a Relational Pedagogy: Indigenizing the Curriculum through MIKM 2701
Bibliographic record
Abstract
In the winter term of 2016, Cape Breton University launched a revised version of a second year Mi’kmaw Studies course entitled Learning from the Knowledge Keepers of Mi’kmaki (MIKM 2701). This course was designed to be led by local Elders and Knowledge Keepers with facilitation support from university faculty. It was designed by course facilitators as a dual-mode course, with the opportunity for students to participate face-to-face and online, and the excitement it generated quickly went “viral.” In this paper, we describe the experiences of the participants in the course through an analysis of their own reflections on the 13 weeks of instruction. The aim of this analysis is to share course design considerations for post-secondary institutions attempting to “Indigenize the academy” at a course level, but also to evaluate the process of co-learning as it was evidenced in the course as a means to address educational complexity and decolonization efforts in the classroom.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".