Mobilizing legal expertise in and against cities: urban planning amidst increased legal action in Bogotá
Bibliographic record
Abstract
In the past decade, there has been a rise in legal action around urban policy and planning in Colombia. Legal expertise has been mobilized by a plethora of actors, including social movements, local politicians, neighborhood groups and individual citizens. This has resulted in legal experts and judges often dictating how social housing, transport corridors, public space, or waste management schemes ought to be implemented by municipal administrations. In this context, mayors and planners complain that the increasing involvement of the judiciary in urban planning drains local resources and undermines the power of mayors to set and implement the political agenda they were democratically elected to execute. In this article, we analyze the rise of legal action against urban planning in Bogotá and conclude by proposing a research agenda for socio-legal and urban scholars interested in further exploring the potential implications of the increasing mobilization of legal expertise in urban planning.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".