People-Centered Urban Governance in Latin America and the Caribbean
Bibliographic record
Abstract
This chapter delves into the complexity of sustainable urbanization, climate justice, social inclusion, and participatory governance. Grounded in a one-year descriptive ethnographic study and meta-synthesis, the analysis deconstructs the disparities between the urban rich and poor in Jamaica, Panama, Trinidad and Tobago, and Columbia, across five key development domains- wellbeing, education, security, infrastructure, and governance. Through sociocybernetics, the decision-making processes in urban ecosystems are interrogated, revealing unique challenges faced by the urban poor, trapped in a cycle of recovery, versus the mitigation-oriented urban rich. The analysis extends to the role of urban citizens, designers and integrators, governance structures, levels of social inclusion, resource allocation, and their amalgamated implications for socio-climate justice. It evaluates the international policy arena, translation of global mandates into local development plans, and the need for hyperlocal strategies that encourage a more people-centred planning approach for sustainable urbanization.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".