Expelled from the garden? Understanding the dynamics of green gentrification in Vancouver, British Columbia
Bibliographic record
Abstract
There is substantial evidence detailing the ecological and social benefits provided through urban greening. However, research in the field of urban green equity has revealed that these benefits are not enjoyed equitably by all residents; existing disparities in the distribution, accessibility, and experience of urban greening disproportionately affect historically marginalized communities and residents. Furthermore, green gentrification scholarship has indicated that instances of urban greening intended to rectify inequities, can contribute to or elicit shifts in property values, encouraging speculative commercial and retail investment, disrupting existing socio-spatial relationships, and threatening the housing security of residents. Although there is consensus on this general characterization of green gentrification, many questions remain concerning the relationships between urban residents engaged in small-scale urban greening and the perpetuation of green gentrification outcomes. Contributing to this line of inquiry, we present a case study of an urban farm operating in Vancouver, Canada, facing displacement due to the redevelopment of its current site. Our results from the study illuminate the contradictory position in which urban residents practicing urban greening are sometimes placed—both implicated in and impacted by green gentrification processes. We present a review of our case study to highlight the power dynamics that farm members must navigate in the effort to preserve their access to land and continue their farming practice. Then, we discuss the farm's role as a consultant for the redevelopment process, exploring how its vision, mission, and identity have been co-opted by development agents and used as a branding tool to promote and support the public perception of the redevelopment. Our findings offer insight into novel relationships between urban agriculture, large-scale redevelopment, and green gentrification. What's more, they contribute to existing discourse concerning the limitations of development processes to account for the risks of green gentrification.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".