Equity and justice in urban coastal adaptation planning: new evaluation framework
Bibliographic record
Abstract
Globally, cities and urban regions have initiated coastal adaptation planning to address increasing risk from sea level rise. However, there is growing awareness that sea level rise and other coastal flood risks will exacerbate existing social inequities if left unchecked. Planning scholars and practitioners have identified the importance of integrating an equity lens into their coastal adaptation planning, yet standards for defining and evaluating equity and justice in coastal adaptation planning have not been well outlined or applied. In response, more research is needed on tools for assessing processes and outcomes of equitable coastal adaptation planning. This paper asks: How are equity and justice being evaluated in urban coastal adaptation planning (UCAP)? The objectives are to: a) expand usages of equity and justice in UCAP and b) present a new framework for evaluating equity and justice within UCAP. The aim of the JustAdapt framework is to support UCAP scholars and practitioners in their pursuit of transformative urban adaptation, moving away from ‘checking the box’ on equity and toward just solutions. JustAdapt asks scholars and practitioners to disrupt dominant norms within the field and instead embrace reflexivity, accountability, and fluidity as they plan in relationship with the shifting tideline. Practice relevance Planning for sea level rise along urban shorelines presents an ever-changing challenge for urban coastal adaptation planning (UCAP) practitioners. Addressing equity and justice in UCAP adds another layer of complexity, as impacts from sea level rise will exacerbate historic and present inequities in coastal cities. This paper offers two main contributions: a) new understandings of equity and justice across five forms of justice – procedural, distributive, recognitional, intergenerational, and epistemic, and b) a new framework that can be used evaluate the degree to which equity and justice are integrated into a UCAP process. The JustAdapt framework supports practitioners to take actionable steps toward integrating equity and justice into their UCAP work, asking them to participate in the transition toward just urban adaptation.
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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 | 0.148 | 0.135 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.017 | 0.025 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".