Decolonizing both researcher and research and its effectiveness 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
How does one decolonize and reclaim the meanings of research and researcher, particularly in the context of Western research? Indigenous communities have long experienced oppression by Western researchers. Is it possible to build a collaborative research knowledge that is culturally appropriate, respectful, honoring, and careful of the Indigenous community? What are the challenges in Western research, researchers, and Western university methodology research training? How have ‘studies’ – critical anti-racist theory and practice, cross-cultural research methodology, critical perspectives on environmental justice, and land-based education – been incorporated into the university to disallow dissent? What can be done against this disallowance? According to Eve Tuck and K Wayne Yang’s (2012) suggestion, this article did not use the concept of decolonization as a substitute for ‘human rights’ or ‘social justice’, but as a demand of an Indigenous framework and a centering of Indigenous land, Indigenous sovereignty and Indigenous ways of thinking. This article discusses why both research and researcher increasingly require decolonization so that research can create a positive impact on the participants’ community, and conduct research ethically. This article is my personal decolonization and reclaiming story from 15 years of teaching, research and service activities with various Indigenous communities in various parts of the world. It presents a number of case studies of an intervention research project to exemplify the challenges in Western research training, and how decolonizing research training attempts to not only reclaim participants’ rights in the research but also to empower the researcher. I conclude by arguing that decolonizing research training creates more empathetic educators and researchers, transforming us for participants, and demonstrating how we can take responsibility for our research.
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 | 0.249 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.067 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.010 |
| 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