Helping Eco Warriors Find Their Own Voices
Bibliographic record
Abstract
Worldwide, informal waste collectors (IWCs) experience discrimination, stigma, and sometimes harassment (Bulla et al., 2021). They rely on their own social networks to ply their “trade” and converse well with people with whom they have personal or business relations. Beyond this small network, IWCs do not usually need to talk to other people. Philippine-based social enterprise Project Zacchaeus (PZC) aimed to transform 60 IWCs into “Eco Warriors” in a program equipping IWCs with a variety of skills. The goal was to empower these IWCs to lead their families and communities and serve as role models to adjacent barangays. The authors explore the contrast between the mostly timid informal waste pickers and the grantee’s vision for them as leaders and effective communicators for environmental awareness. We describe the challenges in the ambitious undertaking, Caceres’s training contributions, and the gradual transformation of shy informal waste pickers into more confident, empowered Eco Warriors.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.008 |
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".