Bibliographic record
Abstract
As the number of Indigenous people/s in Canadian cities is increasing, more research in the field of decolonization is needed to advance conceptual and empirical understanding of how to decolonize urban settler space. This thesis takes a critical qualitative and decolonization approach to investigate how Indigenous people/s experience urban settler space by using a case study of Indigenous students at the University of Ottawa. Through sharing circles, personal interviews, and reflexive journaling, I centre my participants’ experiences and perceptions of the University of Ottawa campus as space. In the first results chapter (Chapter 3), I present my participants’ perceptions of the built environment of the campus and in turn identify the contours of a settler space. In the next chapter (Chapter 4), I examine the participants’ experiences of the campus as a social space. Their responses reveal that settler spaces are imbued with settler norms – what I call settlernormativity – that often reproduce unequal settler-Indigenous relations in and through space. Drawing from my participants’ views on how to decolonize campus space, in Chapter 5, I propose acts of decolonization in space-time as a strategy to decolonize settler urban spaces.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.038 | 0.024 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".