Justifying Redevelopment ‘Failures' Within Urban ‘Success Stories': Dispute, Compromise, and a New Test of Urbanity
Bibliographic record
Abstract
Abstract Large‐scale waterfront redevelopment projects, an urban development phenomenon that originated in the 1970s, are attractive to a growing suite of cities worldwide. But why? These mega‐projects are full of pitfalls, broken promises, cost overruns, disappointments and are often accused of promoting inequality. In this article, we consider the specific case of Melbourne's Docklands, which local popular opinion has roundly judged a failure despite the countervailing judgment of success in the revival of ‘liveability' of the adjacent Melbourne central business district. We use the Docklands case to illustrate the utility of a ‘critical pragmatic' framework of analysis to get behind dominant explanations of the demands of the urban growth machine and postmodern neoliberal capitalism. Without denying the existence of these dynamics, nor their hegemony, we nevertheless explicate how a critical pragmatic analysis can reveal the social dynamics driving the judgments and justifications offered by actors in urban redevelopment. A pragmatic analysis of these dynamics of argument and action at critical moments in the long process of an urban redevelopment can reveal new kinds of compromises and tests by which these projects are judged. In other words, what counts as failure and as success in the work of city building will shift, depending on what actors do and how they talk about it, and on how well these actions and justifications hold up to public challenges about the true character of a successful city. By gauging how these challenges are constituted and settled, we can better understand the evolution of the urban value proposition, and the new notion of justice grounded in urbanity that is emerging at the urban redevelopment frontier.
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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 | 0.040 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.017 | 0.148 |
| Scholarly communication | 0.024 | 0.028 |
| Open science | 0.005 | 0.016 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".