Placemaking as Unmaking: Settler Colonialism, Gentrification, and the Myth of “Revitalized” Urban Spaces
Bibliographic record
Abstract
Leisure scholarship that operates within traditional frames celebrates placemaking as an inherently good, participatory, and emancipatory process. In doing so, the bulk of leisure scholarship fails to account for the ways that placemaking is complicit in the historic and pervasive violences of systemic racism, settler colonialism, gentrification, and socioeconomic elitism. Working through the case of Goudies Lane, a recently place-made space in so-called Kitchener, Ontario, we demonstrate how humanist approaches to placemaking predicate erasures and perpetuations of these violences. We argue that thinking differently may allow for a more engaged, equitable scholarship that accounts for the reality that every placemaking is always already an unmaking of something, and that these unmakings perpetuate racialized and socioeconomic injustices under the guise of a collaborative, participatory process of “revitalization” and “progress.”
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.133 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| 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".