Towards inclusive waste management: participatory video as a communication tool
Bibliographic record
Abstract
This paper describes the outcomes of a participatory video (PV) project with recycling cooperatives in the metropolitan region of São Paulo, Brazil between 2008 and 2012. Through a participatory action research approach, four PVs were co-produced and a collaborative research design was developed with participants to use the videos as a communication tool for enhancing dialogue and promoting inclusive and integrated approaches to waste management with policy makers. The catadore/as (‘recyclers’) involved are all participants of the Participatory Sustainable Waste Management (PSWM) project, a six-year partnership programme between the University of Victoria, the University of São Paulo, over 30 recycling cooperatives, municipal governments and various non-governmental organisations in the metropolitan region of São Paulo. This paper explores the methodological and theoretical contributions of using PV for enhancing the representation of catadore/as and the potential for shifting power dynamics in spaces of public policy. It also points to the growing organisation (and movement) of recycling cooperatives and associations as instrumental in improving the livelihoods of recyclers and crucial to expanding models of PSWM. The key findings highlight: the importance of building strong partnerships between the government and the recyclers; the necessary expansion of environmental education programmes valuing the principles of PSWM; and the need for adequate public policies to support these initiatives. The paper also draws attention to the relationship of power and knowledge that emerged through this process and reflects on the changing nature of citizen engagement in policy processes.
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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 | 0.015 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".