The Transformation of Academic Knowledges: Understanding the Relationship between Decolonising and Indigenous Research Methodologies
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.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.068 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.016 | 0.169 |
| Scholarly communication | 0.025 | 0.029 |
| Open science | 0.004 | 0.024 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".