Witnessing transgenerational trauma in teacher education: decoloniality of time, rupture of developmentalism, and settler resistance
Bibliographic record
Abstract
How can educators and students from settler backgrounds engage with and acknowledge the experiences and representation of transgenerational trauma among Indigenous peoples in educational environments, while remaining cognisant of the ethical and political implications? This challenge arises within the context of societal structures still influenced by colonial legacies, where systems of power are ingrained along lines of race, ethnicity, class, gender, disability, and sexuality. What would be some of the necessary conditions that educational environments would need to meet in order to ethically and politically respond to transgenerational traumatic encounters? This paper addresses these questions and suggests three conditions that educational environments would need to meet, when educators and students are invited to become witnesses of transgenerational trauma: decoloniality of time, rupture of developmentalism, and an ethic of non-innocence. Both these conditions and their pedagogical implications are discussed and analysed through the lens of a decolonial ethic.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.014 | 0.047 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".