Reconciling Positionality: An Indigenous Researcher’s Reflexive Account
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
As researchers, we take the subjectivity we have formed over time into each research project. These subjective traces are a product of our lived experiences, gradually shaping our perceptions and interpretations of the world. Despite being an Indigenous scholar, my lived experience has not primarily occurred within Indigenous settings, resulting in biased subjectivities emerging while researching First Nations communities. This paper describes my subjective traces and reflects on the biases I uncovered while researching Indigenous communities. The reflection consists of three main sections: a personal background, a description of experiences in the research sites, and a discussion of what the reflections mean to the decolonization of academia. Overall, I hope that the insights in this reflection go beyond the mere recognition of Indigenous voices and encourage Indigenous researcher activism toward advancing and diversifying academia.
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 | 0.021 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it