GRASSROOTS ECO-SOCIAL INNOVATIONS DRIVING INCLUSIVE CIRCULAR ECONOMY
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The paper discusses research results on waste governance and circular economy, conducted with waste picker cooperatives in the metropolitan region of São Paulo, Brazil. Two cases have been selected, from a pool of 21 waste picker organizations, to video document their grassroots eco-social innovations that have improved local waste management and the lives of the cooperative members. The videos support knowledge sharing with key actors in waste governance and the circular economy. Social grassroots innovation theory focuses on livelihood opportunities beyond the formal labour market, pursuing social inclusion by creating meaningful work for individuals who were considered left out and in vulnerable situations. Transitioning to sustainability necessarily goes beyond socio-technical innovations but rather integrates eco-social perspectives. After first introducing grassroots innovation theory and the concept of eco-social innovations the paper describes the empirical frame and presents two cases where organized waste pickers were successful in operationalizing innovations that address the circular economy and contribute to sustainability transitions. Key findings highlighted are cooperative governance, long-term partnership building, improved productivity and increased income.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it