Non-Indigenous Positionality when Engaging in de-colonising/ <i>re</i> -indigenising Research and Its Place Within Visual Methodology
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
The aim and purpose of this article has been to advocate for autobiographical investigation and identification of positionality when non-indigenous researchers engage in indigenous methodologies. My experience as an international adoptee from a Romanian orphanage who experienced unsafe research practice shaped my emancipatory positioning and interpretive lens. It is from this positioning and experience of marginalisation I was concerned with finding a research paradigm that positions participants not as objective objects; but rather as rivers of knowledge with stories that determine the tide of the research. The lens of tangata tiriti (people of the treaty) from which I base my practice in Aotearoa, New Zealand; invites a positionality of neighbourliness, thus prioritising de-colonising/re-indigenising methodologies. The focus for my research project explored the disconnection between teachers who hold a Biblical world view and their students who experienced feelings of agitation and frustration. The participants contributed insights about teachers’ pedagogy drawn from responding to two prompts: “what is happening when you were empowered by your teachers to flourish?” and “what is happening when you feel disempowered by your teachers?” The chosen research method Photoyarn, is a recently emerged form of photo-elicitation created by Jessa Rogers that honours aboriginal yarning circles. This article makes the case for recognizing our ontological and epistemological positioning thus maintaining authenticity in research and holding steadfast the ethical disposition intention of doing no harm.
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 | 0.283 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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