Decolonizing Methodologies in Qualitative Research: Creating Spaces for Transformative Praxis
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
Though there is no standard model or practice for what decolonizing research methodology looks like, there are ongoing scholarly conversations about theoretical foundations, principal components, and practical applications. However, as qualitative researchers, we think it is important to provide tangible ways to incorporate decolonial learning into our research methodology and overall practice. In this paper, we draw on theories of decolonization and exemplars from the literature to propose four practices that can be used by qualitative researchers: (1) exercising critical reflexivity, (2) reciprocity and respect for self-determination, (3) embracing “Other(ed)” ways of knowing, and (4) embodying a transformative praxis. At this moment of our historical trajectory, it is a moral imperative to embrace decolonizing approaches when working with populations oppressed by colonial legacies.
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 | 0.346 | 0.305 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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