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Record W2136435817 · doi:10.12927/whp.2013.22073

Environmental Health Assessment of Primary Schools in Southeastern Nigeria: Implication for a Healthy School Environment in Developing Countries

2010· article· en· W2136435817 on OpenAlexvenueno aff
Chinonyelum Thecla Ezeonu, Maria Nwakaego Anyansi

Bibliographic record

VenueWorld health & population · 2010
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsDeveloping countryToiletEnvironmental healthPublic healthMedicineTest (biology)SocioeconomicsEconomic growthNursing

Abstract

fetched live from OpenAlex

In this cross-sectional descriptive study, we used a validated school health program evaluation scale (SHPE) to assess the environmental health status of primary schools in Ebonyi State, southeastern Nigeria. Parameters assessed included water supply, sewage and refuse disposal, school building ventilation, lighting and seating, as well as the availability of toilet tissue, basins for washing hands, regular cleaning of toilets, and so forth. Of all the schools assessed, only two schools, both private, attained the minimum acceptable SHPE score of 57. The mean SHPE score of the private schools (50.40) was significantly higher than that of the public schools (28.69) (t-test, p=.00). Policy reforms are needed that would ensure a healthy primary school environment in Nigeria and in other developing countries with similar settings.

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: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.328
Teacher spread0.308 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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