The Possibilities of Transforming Settler Consciousness: Community Spaces and White Settler Responsibility
Bibliographic record
Abstract
In Settler Colonial Theory, there is a growing body of work that looks at the ways settler colonization is being challenged.The understanding of how settlers are engaging with these potential transformations remains unclear.I build on Davis et.al's (2017) idea of "transforming settler consciousness" to consider what conditions, spaces, and practices are facilitating white settlers to challenge settler coloniality.Working with five white settlers in community groups, I use a narrative inquiry methodology to ask what about these initiatives did, or did not, catalyze transformed settler consciousness?Through a political ontology framework, the stories shared reveal the paradoxes, challenges and complexities about what facilitates a politics of recognition (Coulthard 2014) and what facilitates spaces of ontological negotiation.While the former does not demand a transformation in settler consciousness, the later does and with that transformation, settlers have the potential to contribute to a radical transformation of settler coloniality.I would first like to thank all of the activist, organizers and frontline communities that spend their lives fighting for justice and a better world for everyone.I want to express my gratitude for the five people who are committed to this work and shared their stories with me-it takes a lot of love, courage and vulnerability and I am so very thankful.During times of global ecological, political and social strife, it is your resistance, art, action and dreams are that give me hope.I want to thank all my family and friends who supported me through this process.I leaned on you all and am always grateful for the love you so readily gave.I want to offer a heartfelt thank-you to my supervisor, Professor Cristina Rojas.I have learned so much from you and your endless patience and willingness to hear all my ideas was truly a gift.Thank you Donna Coghill, I really couldn't have made it to the end of this project without you
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.063 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".