Reclaiming and Recirculating Urban Natures: Integrated Organic Waste Management in Diadema, Brazil
Bibliographic record
Abstract
Although developing world cities are increasingly the focus of urban political ecology perspectives, waste remains an underexplored aspect. This paper helps to fill this thematic gap by using urban political ecology as a lens for analyzing flows of food waste in the Brazilian city of Diadema. The marginal urban poor in Diadema, as in most other cities in Brazil, lack access to affordable fresh fruit and vegetables yet must cope with a disproportionate accumulation of uncollected waste. Integrated organic waste management, consisting of decentralized household-waste collection by organized recycling groups, waste processing, and the utilization of food waste for composting and urban food production, is presented as way of reclaiming and recirculating urban natures for potentially positive socioecological change. However, it is a process characterized by conflict and potential exploitation, while broader structural conditions constrain the ability of the system to offer an alternative to existing waste-management models. The paper concludes with a call for further action-oriented research within urban political ecology to reveal opportunities for new socioecological futures which should occur at multiple scales and emerge from the lived realities of marginalized actors such as catadores (recyclers) and urban gardeners.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".