Social and Environmental Justice in Waterfront Redevelopment: The Anacostia River, Washington, D.C.
Bibliographic record
Abstract
Waterfront redevelopment projects have often been criticized for prioritizing attractive skylines and glittering facades over the needs of local communities. Recently, however, they have increasingly seen goals of social and environmental justice integrated into their vision statements. This article focuses on the redevelopment of the Anacostia River in Washington, D.C. Since the early 2000s, the formerly neglected and contaminated river has been at the center of extensive regeneration efforts through the Anacostia Waterfront Initiative (AWI). We examine to what extent the AWI has helped to overcome inequities between the two disparate sides of the river. To answer this question, we build on interviews, analysis of planning documents, and site visits. Examining efforts toward both social and environmental justice, we show the convergence of the two but also the contradictions that arise between them. The findings suggest that employing a joint social and environmental justice approach to analyze waterfront redevelopments is important to reveal these tensions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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 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".