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Record W2011737792 · doi:10.1504/ier.2000.053860

Occupational health hazards faced by female waste-picking children in urban India: a case study of Bangalore City

2000· article· en· W2011737792 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

VenueInterdisciplinary Environmental Review · 2000
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Environmental Waste Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGarbageSlumCapital citySocioeconomicsPovertyEnvironmental healthTruckMunicipal solid wasteInformal sectorWork (physics)BusinessGeographyWaste managementEngineeringPopulationEconomic growthMedicineEconomics

Abstract

fetched live from OpenAlex

The paper presents the results of an investigation into the health hazards faced by waste picking children in Bangalore, the capital of the state of Karnataka in South India. The city of five million, has experienced phenomenal growth in recent decades as a result of large migration from rural parts of the state as well as neighbouring states. Most of these migrants fail to find paid work and end up in the sizeable informal sector, trying to eke out a living through self–employment. Many of the least skilled take up waste picking as their primary or supplementary occupation. Waste picking (WP) children often supplement the family income, but at times may be the major breadwinner of the family. Most of the WP children belong to the poorest families from among the lowest castes. They invariably live in slums in highly unhygienic conditions. Households in the city produce about 2,200 metric tons of solid waste daily, of which only about 80% is cleared. The waste is deposited in concrete bins on city streets for pick up by city trucks. Before the waste is picked up, the waste pickers rummage through the garbage looking for recyclable materials such as paper, plastics, metals and glass. The retrieved materials are then sold to small neighbourhood retail waste buyers. In view of the tropical conditions in the city, the waste in the bins putrefies quickly, attracting rodents, stray cats, dogs and cats as well as disease spreading vectors like flies, mosquitoes and cockroaches, making it a great health risk for waste pickers. While picking waste, the children almost never use any protection for their hands and feet or for breathing. We find in the study that, even when compared to other slum dwelling children, WP children have a significantly higher incidence of gastrointestinal, dermatological and respiratory diseases, in addition to the severe nutritional deficiency suffered by all slum children. This situation points up the need for targeted programmes for the prevention and treatment of the health problems as well as the general social and economic problems of waste pickers who perform the very useful social function of reduction and recycling of waste.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.342
Teacher spread0.319 · 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