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Record W2801616567 · doi:10.19044/esj.2018.v14n11p163

Morbidité Des Enfants En Zones Urbaines Africaines. Le Cas De L’observatoire De Population De Ouagadougou (Burkina Faso)

2018· article· en· W2801616567 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

VenueEuropean Scientific Journal ESJ · 2018
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSanitationUrbanizationGeographyPopulationSocioeconomicsEnvironmental healthMedicineSociologyEconomic growth

Abstract

fetched live from OpenAlex

Rapid urbanization and its consequences in regard to access to water, sanitation, and waste management in African cities can be synonymous to health problems. Based on the data obtained from the Ouagadougou Health and Demographic Surveillance System, this paper focuses on characterizing most of those at risk of disease (fever, diarrhea, cough, infections of the skin and eyes). Spatial analysis show that populations in formal (zoned) neighbourhoods, compared to those in informal neighbourhoods, are most at risk of disease. However, in performing multiple correspondence factor analysis and classification, we found that the informal neighbourhoods are mostly at risk of disease. The formal and informal opposition is not absolute, but the differences remain strong despite the existence of atypical neighbourhoods. The contribution of the paper is to provide a new perspective for thinking in regards to the links between environment and children’s health.

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 categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
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
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.030
GPT teacher head0.291
Teacher spread0.260 · 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