The Integration of the Indigenous Knowledge Holders Council into a Post-Secondary Education Tri-Cameral Governance Institution
Bibliographic record
Abstract
The 2015 release of the Truth and Reconciliation Commission (TRC) final report documented the historical impact of Canadian Indigenous residential schools through 94 Calls to Action requiring redress. Supporting post-secondary institution (PSI) educational reconciliation, Calls to Action #62 appeals to incorporate Indigenous (First Nations, Inuit and Métis) knowledge, philosophies and approaches into the post-secondary system which has historically been built on a Western colonial worldview. An arctic Canadian PSI (referred to by the pseudonym Big River College, BRC) has made reconciliation an institutional priority, as it aligns with BRC strategic, academic, and equity, diversity and inclusion (EDI) plans. Consequently, this Dissertation-in-Practice (DiP) focuses on increasing support for reconciliation and indigenization by integrating into BRC tri-cameral governance an Indigenous Knowledge Holders Council (IKHC). The recently amended legislation supports reconciling BRC governance through a tri-cameral approach. The integration of the IKHC into BRC governance is the focus of the Problem of Practice (PoP). Institutionalization of the IKHC will be in place when the IKHC provides strategic direction to leadership, faculty and staff by braiding critical Indigenous perspectives within BRC through Etuaptmumk or Two-Eyed Seeing. This DiP is constructed using critical Indigenous and cultural perspectives including three leadership approaches: transformative, adaptive, and culturally responsive that are linked to the change process. Addressing the PoP should lead to a longer-term learning cultural shift within BRC that supports reconciliation indigenization, equity, diversity, and inclusion and increasing institutional success factors for Indigenous faculty, staff and students to walk in two worlds, Dene Nahjo.
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 | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.018 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.006 |
| 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".