Justification, compromise and test: Developing a pragmatic sociology of critique to understand the outcomes of urban redevelopment
Bibliographic record
Abstract
The outcomes of urban redevelopment projects are never predictable, nor do they conform perfectly to any single ideological expression of contemporary development approaches, whether that of rational master planning for the public interest, a market-driven neoliberal approach in the name of the competitive world class city or some other vision of utopia. We argue here that a critical pragmatic analytical lens can be applied usefully to improve our understanding of the justifications, qualifications and compromises that contribute to shaping such projects in their contexts. The critical pragmatic approach, deriving from the work of Laurent Thévenot, Luc Boltanski and others, is offered here with illustrative applications to the case of a major redevelopment project in Vancouver, Canada. The approach is situated within planning theory related to governmentality, communicative action theory and American pragmatic philosophy. We establish the utility of studying disputes in the public sphere surrounding development projects, in terms of the objects and actors involved in particular contexts (as opposed to a pure discourse approach) and in terms of the nature and trajectory of compromises attempted and attained in the process (as opposed to consensus-seeking or governmentality approaches).
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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 | 0.038 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.015 | 0.129 |
| Scholarly communication | 0.020 | 0.021 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.010 | 0.008 |
| 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".