Msit No'kmaq: An Exploration of Positionality and Identity in Indigenous Research
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
In this paper I explore the Mi’kmaq words Mist No’kmaq, which can be translated as ‘all my relations’. Msit No'kmaq is not only at the center of who I am as a person, but also who I am becoming as a researcher. Reflecting on how to honor all my relations within research, has allowed me to explore my beliefs about research, thereby developing a clear understanding of the purpose and intentions of engaging in Indigenous research. Rather than seeing researchers as insiders or outsiders within the context of Indigenous communities, I argue that it is important to engage in reflexive processes that make visible a researcher’s positionality and who they are and are becoming. *Keywords: Identity, positionality, Indigenous research, relations, relational accountability
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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 | 0.013 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.013 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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