Bibliographic record
Abstract
Indigenous communities across Canada are courageously fighting to protect their Lands for future generations. Many settler Canadians are trying to work in solidarity with Indigenous communities to disrupt socio-ecological injustice. Efforts are being made in the fields of outdoor and environmental education to integrate social and ecological perspectives to challenge the dominant and inequitable power structures \nimpacting people and the more-than-human world to improve the health and sustainability of communities. \nDespite these efforts, settler colonialism remains entrenched throughout Canadian institutions. Schools are still largely failing to meet the needs of Indigenous students (Dion, 2010; Haldane, Lafond, & Krause, 2012; Little Bear, 2009). Furthermore, schools are also failing non-Indigenous students by continuing to teach Eurocentric myths and perspectives. One reason for this is that settler Canadian educators have not been taught about resilient Indigenous cultures, shared colonial histories, or their own complicity in contemporary socio-ecological colonialism. I argue that settler environmental educators need to decolonize ourselves and our teaching praxes in order to shift towards ethical relationality (Donald, 2012) or respectful relationality (Korteweg, personal communication) with Indigenous peoples and Lands. To date, however, little research exists that conceptualizes decolonizing for settler Canadians or that seeks to understand how to facilitate these complex and lifelong processes. \nWorking from an Indigenist?decolonizing theoretical framework (Smith, 1999; 2010; Wilson, 2001; 2007) and guided by auto-ethnographic methodology (Denzin, 2014; 2006; Ellingson & Ellis, 2008; Anderson, 2006), I employ reflexive narrative vignettes and constructivist grounded theory analysis (Charmaz, 2003; 2006; Kovach, 2010) to examine the factors and experiences that facilitate and/or prevent settler Canadians? \ncapacity to shift towards respectful relationality with Aboriginal peoples. I aim to provide an in-depth model of ?unsettling the settler? (Reagan, 2010) through my own self-study in order to expand the literature on settler decolonizing and to theorize fundamental moves that educators in general and environmental educations in particular need to experience in order to deepen our decolonizing understandings. \nThrough my own critical self-study, I offer 10 ?settler moves to respectful relationality,? based on experiences that support decolonizing. They include: Land-based experiences and acknowledgement of Indigenous Land; engagement with resilient Indigeneity and relationships with Indigenous peoples; critically reflexive autobiographical work; and connections to one?s own cultural heritage and community.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.065 | 0.020 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.004 | 0.014 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".