Using Indigenous Research Frameworks in the Multiple Contexts of Research, Teaching, Mentoring, and Leading
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
Indigenous research frameworks can be used to effectively engage Indigenous communities and students in Western modern science through transparent and respectful communication. Currently, much of the academic research taking place within Indigenous communities marginalizes Indigenous Knowledge, does not promote long-term accountability to Indigenous communities and their relations, and withholds respect for the spiritual values that many Indigenous communities embrace. Indigenous research frameworks address these concerns within the academic research process by promoting values such as: relationality, multilogicality, and the centralization of Indigenous perspectives. Indigenous research frameworks provide a framework that can be used in multiple contexts within higher education to bring equitable practices to research, teaching, mentoring, and organizational leadership. In this article, as a researcher who uses Indigenous research frameworks, I utilize autoethnography to engage in critical, reflexive thinking about how my perspective as an Indigenous researcher has developed over time. The purpose of this autoethnography is to reveal how Indigenous research frameworks may enhance higher education, especially for Indigenous students.
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 | 0.059 | 0.027 |
| 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 | 0.002 |
| 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