The Transformation of Academic Knowledges: Understanding the Relationship between Decolonising and Indigenous Research Methodologies
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
There is conceptual confusion in academic scholarship regarding Indigenous research methodologies and decolonising research methodologies. Scholars view these paradigms as similar yet distinct, but very few seek to define that distinction. In this article, I explore the relationship between these approaches to academic research. Both paradigms emphasise the need to transform the academy because of its tendency to marginalise non-Western epistemologies. Transformation requires the interconnection and co-ordination of many paradigms including Indigenous, feminist, and antiracist approaches to research. I propose viewing Indigenous and decolonising research methodologies as a relationship, and suggest both are dynamic practices that do not exist outside of the people who use them. What they look like and how they relate to one another will depend upon who uses them, why they are used, and where they are practiced.
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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 | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.113 | 0.005 |
| 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 | 0.000 |
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