Who Am I and What Is My Role in Reconciliation with Indigenous Peoples?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper reports on an auto ethnographic examination of my identity, my positionality, and my role in reconciliation with Indigenous peoples in Canada and to decolonising and indigenising the academy through my research and teaching practices. It is an individual response to the Truth and Reconciliation Commission of Canada (TRC) calls to Action. I weave in personal narratives, theory, and poetry to engage with deep reflection on my lived experiences and the historical and social contexts that have influenced the construction of my identity and educational praxis. I examine these experiences within the context of colonisation, moving from historical to current perspectives and its specific implications within the Canadian context. Intersectionality and Indigenous theories and perspectives guide this examination. The aim is to further my understanding of Indigenous issues and to prepare myself to be an active and effective agent in the process of reconciliation with Indigenous peoples. The insights I have gained and share in this paper may inspire other educators to initiate their own journeys.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it