Waste Pickers at the Heart of the Circular Economy: A Perspective of Inclusive Recycling from the Global South
Bibliographic record
Abstract
While the circular economy (CE) is discussed in the global North as an innovative approach to waste management, the idea of circular resource flows has long been central in the work of waste pickers all over the world. They work independently or in groups, collecting, classifying, and reinserting a wide range of discarded materials into the economy. These grassroots initiatives have accumulated valuable knowledge and offer innovative perspectives on handling waste, informed and framed by their everyday experiences. Yet their efforts are hardly recognized as contributions to the circular economy, nor are most of the services they provide remunerated. Despite their precarious working and living conditions, waste pickers provide a specialized workforce, proven to be efficient in the reclamation of discarded and wasted materials, in reverse logistics such as extended producer responsibility (EPR) and service contracts involving municipalities and industries. With some exceptions, the organization of human labour that underpins the circular flows of matter and energy is an absent analytical dimension in most of the literature in this field. The dominant CE concept focuses primarily on environmental and ecological sustainability outcomes but lacks attention to social sustainability and livelihood aspects. Our paper bridges this gap in the literature by discussing results of qualitative research conducted in the metropolitan regions of São Paulo, Brazil, and Buenos Aires, Argentina, in 2017 and 2018, illustrating how waste picker organizations provide selective waste collection services to communities and businesses and thus contribute to resource recovery and social inclusion, at the heart of the CE.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".