Identifying and working through settler ignorance
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
As Canadian education systems implement the Truth and Reconciliation Commission’s Calls to Action, various expressions of white settler resistance become amplified. This article examines the potential for settler-educators’ stories to teach about processes for working through settler ignorance. Insight into the question of how to transform settler subjectivities and relationships with Indigenous peoples cuts across theoretical terrain in three fields: decolonizing education, epistemic ignorance, and affect/felt theory. We engage with these currents to analyze settler resistance through nIshnabek de’bwe wIn, a project aimed at transforming relationships between Indigenous and non-Indigenous students and teachers through collaborative storytelling. We report on one project facet that brought Indigenous and non-Indigenous researchers, educators, and students together to create digital/multimedia stories about experiences of schooling that could inform settler-educator learning by offering critical insight into unlearning ignorance as one strategy (among many) for decolonizing colonial structures of schools. Attention to settler stories reveals a triadic relationship between power/knowledge/affect wherein these forces are inextricably entangled in ways that create and reinforce the epistemological knot of settler ignorance and resistance. The emotional work storytellers undertook as part of their embodied learning offers insight into the promise of creative pedagogies for untying that knot.
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 | 0.000 | 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 | 0.000 | 0.000 |
| 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