MEMEGWAANH, Indigenous Co-Curricular Honour Program
Bibliographic record
Abstract
One response to the Truth and Reconciliation Commissions’ 94 Calls to Action report (2015) are co-curricular initiatives that aim to Indigenize the student experience. Previous research has shown that cocurricular achievements increase students’ self-awareness of their skill set, which helps them to better articulate skills to future employers. Western University’s Office of Indigenous Initiatives proposes Memegwaanh (Meh-meh-gwah, translated to “butterfly” in Anishinaabemowin), the Indigenous Co-Curricular Honour Program, offered to all undergraduate students at main campus and the affiliates. The co-curricular program aims to develop students’ awareness and knowledge of Indigenous identity and gain a comprehensive understanding of the relational history between Indigenous Peoples and the nation of Canada. Students are rewarded with recognition on their formal academic transcript, following completion of activities across four categories: a) academic coursework, b) community-engaged experiential learning, c) the completion of NVision’s “The Path”, and d) participating in workshops through the Office of Indigenous Initiatives. Framed in a decolonizing theoretical lens, the curriculum planning process is led by and collaborated with Indigenous Peoples, with expressed intent to privilege the Indigenous perspective. This approach aims to support Indigenous Peoples’ right to self-determination, to protect the integrity and authenticity of cultural content, and to honour the lived PAGE 19 experiences of Indigenous Peoples. Students completing the program are better equipped to identify ways to engage in cross-cultural relationships and support reconciliation in alignment with the Truth and Reconciliation Commission’s Calls to Action.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.004 |
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".