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Record W66897383

Health and Environment Project In Benin

2010· article· en· W66897383 on OpenAlexaboutno aff
Raphaël Edou

Bibliographic record

VenueOpenEdition (OpenEdition) · 2010
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental planningEnvironmental healthEnvironmental scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

In 1989, the Republic of Benin was facing great social and economic upheavals. In 1990, the Canadian and American Mennonite missionaries created the Bethesda Health Care Centre. In 1993, assessment of the hospital activities showed that many people were coming back to the centre repeatedly with the same illnesses linked to sanitation aspects and living conditions. The Community Development and Environmental Protection Department (DCAM) was thus established to face this great challenge. It quickly helped the community and the local authorities to establish a waste management system. The Programme for Sanitation and Protection of the Environment (PrAPE) was designed and funded by the French Embassy and Evangelische Entwicklungsdienst V.e (EED), a German Christian organization. Households then began to subscribe for the collection of their wastes. Bethesda began to assist other communities to put in place waste management systems. Today, it is working throughout the country with many municipalities. While the programme was being implemented, we discovered that the community needed to be supported in their revenue generating activities. We set up in 1996, a solidarity-based microfinance system. The savings of some people were used to grant credit to others. This community bank has developed into a large bank today. In 2006, a system of mutual insurance was put in place. A complete integrated system to address the basic needs of the community was thus set up.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.003

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 head0.016
GPT teacher head0.271
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2010
Admission routes1
Has abstractyes

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