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Record W4366263149 · doi:10.17730/0888-4552.45.2.53

Helping Eco Warriors Find Their Own Voices

2023· article· en· W4366263149 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePracticing Anthropology · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsCommunity Based Research Centre
FundersUnited States Agency for International Development
KeywordsConversePublic relationsHarassmentVariety (cybernetics)SociologyInclusion (mineral)Stigma (botany)Political sciencePsychologySocial scienceSocial psychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.034
GPT teacher head0.300
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it