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Record W2130871854 · doi:10.1080/09603120701844258

Informal recycling and occupational health in Santo André, Brazil

2008· article· en· W2130871854 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Environmental Health Research · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsUniversity of Victoria
FundersMichael Smith Health Research BCUniversity of Victoria
KeywordsInformal sectorHousehold wasteEnvironmental healthGovernment (linguistics)BusinessSanitationPublic healthEconomic growthSocioeconomicsMedicineEngineeringEconomicsNursing

Abstract

fetched live from OpenAlex

The collection of recyclables is a widespread activity among urban poor, particularly in countries with large socio-economic disparities. The health of recyclers is at risk because of unsafe working conditions, socio-economic exclusion, and stigmatization. Our study focuses on health problems and occupational risks of informal recyclers (in Brazil known as catadores). In 2005 we conducted an in-depth socio-economic survey of 48 informal waste collectors in Santo André, Brazil. Almost all workers reported body pain or soreness in the back, legs, shoulders, and arms. Injuries, particularly involving the hands, are frequent. Flu and bronchitis are common, and one recycler had contracted Hepatitis-B. Policy makers at all government levels need to address the pressing health issues affecting large numbers of informal recyclers in Brazil and abroad. Recyclers need to be involved in the design of waste management policies, and the public must be educated about the important environmental service these people provide.

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)0.003
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.119
GPT teacher head0.443
Teacher spread0.324 · 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