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Record W2141169060

The triad of poverty environment and child health in Nairobi informal settlements.

2004· article· en· W2141169060 on OpenAlexvenueno aff
Mary Amuyunzu-Nyamongo and Negussie Taffa

Bibliographic record

VenueWorld health & population · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyConceptualizationEnvironmental healthHuman settlementFocus groupMedicineMalnutritionPublic healthChild mortalityEconomic growthSocioeconomicsPopulationNursingSociologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Twenty four focus group discussions and 62 in depth interviews were conducted in four informal settlements in Nairobi in 2002 to explore the community members’ expression and understanding of the linkages between urban poor environments and childhood illnesses. Community members identified respiratory tract infections diarrhea malaria skin problems and malnutrition as the five leading illnesses among children aged under-5 years. The mothers linked these illnesses to lack of adequate and clean water unsafe waste disposal systems lack of adequate and nutritious food and air pollution. The ability of the mothers to make these linkages which are quoted verbatim in the paper shows that their children’s illnesses could mainly be due to the impoverished status and environments rather than their mothers’ lack of biomedical conceptualization of disease processes. The opportunity for child survival programs exists as illustrated by the communities’ conceptual understanding of the linkages between the environment and child health outcomes. The challenge for any child survival program is therefore to build on it. (authors)

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.618
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.303
Teacher spread0.289 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2004
Admission routes1
Has abstractyes

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