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Record W7027286929

Community Base Newborn Care Evaluation, Ethiopia 2013-2017 - Woman's Development Army Survey Data

2017· dataset· en· W7027286929 on OpenAlexaboutno aff

Bibliographic record

VenueLondon School of Hygiene & Tropical Medicine · 2017
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Health careSurvey data collectionCommunity healthData collectionPrimary health careSurvey methodologySelection (genetic algorithm)Plan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

The IDEAS Community Base Newborn Care (CBNC) evaluation surveys were conducted in Ethiopia in the last quarter of 2013, 2015 and 2017. Across four regions; Amhara, Oromiya, SNNP and Tigray, 206 Primary Healthcare Units (PHCU) were randomly selected from 12 zones and surveyed at all three time points. Household surveys of women who delivered in the previous 3-15 months collected demographic and healthcare data during the antenatal, delivery and postnatal period. The selection of zones was based on the phasic implementation plan on the CBNC programme and therefore not random. This dataset covers health worker surveys of woman’s development army volunteers. Collected data covers demographics, care provision, MNH knowledge, training and supervisions. This contains data collected from the Woman’s Development Army (WDA).

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)0.011
metaresearch head score (Gemma)0.056
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.056
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0130.005
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0040.006

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 head0.167
GPT teacher head0.405
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2017
Admission routes1
Has abstractyes

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