Situated urban political ecology of climate resilience planning: The land use planning conundrum in Ghana
Bibliographic record
Abstract
The insufficient focus on power and equity in earlier resilience thinking prompted urban resilience planning scholars to explore urban political ecology for insights into the power dynamics that influence varying levels of vulnerability and resilience to urban environmental stressors. However, the predominance of neoliberal capitalist logic in Marxist urban political ecology attracted criticism and calls for a situated urban political ecology. This study employs a situated urban political ecology lens, drawing on postcolonial and strategic relational approaches to analyze how the situated knowledge of climate change among land custodians informs their land use planning practices through resilience-oriented land use planning. Using qualitative research methods in two secondary cities in Ghana, the findings show that strategic selectivity disrupts the influence of land custodians' situated knowledge in resilience-oriented land use planning. Urban poor residents suffer the negative consequences of the land use planning actions of the custodians. On the other hand, the main land use planning actors and powerholders (land custodians, private developers, and planning officials) benefit from the workings of the land use planning system. Diverse social, cultural and economic motives inform the strategic selectivity of powerholders in land use planning, contrary to the predominant neoliberal logic of Marxist urban political ecology. We recommend that efforts to enhance urban resilience through land use planning within the sub-Saharan African context should acknowledge the strategic selectivity of powerholders and simultaneously create provisions to prevent the abuse of power and mitigate negative impacts on the environment and the urban poor.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".