Towards a Praxis of Manifesting Spatial Imaginaries
Bibliographic record
Abstract
In this essay, we suggest an alternative lens to uneven development as an embodied process to frame extant work within critical gentrification studies. In doing so, we resist a theoretical and methodological distinction divorced from the politics of remaking the material and immaterial conditions of the body before, within, and beyond space. In the pursuit of theoretical distinctions and temporal and spatial renderings from the varieties of everyday racial capitalism, we urge scholars to embed an imaginary towards our collective urban future within their theoretical conceptualizations. To do this means to not only suggest what is but what could be. While brief, we hope that this encourages others to engage in scholarly endeavors not only to understand the causes and effects of gentrification and displacement, but to advocate for a politics of spatial imaginaries.
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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 | 0.022 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.136 |
| Scholarly communication | 0.020 | 0.036 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".