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Record W2068572914 · doi:10.1080/17450121003758854

Scaling up and sustaining community-based care for preschool and school-age children – successes and challenges in Malawi

2010· article· en· W2068572914 on OpenAlexaff
Olivier Drouin, Jody Heymann

Bibliographic record

VenueVulnerable Children and Youth Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsMcGill University
Fundersnot available
KeywordsPovertyGovernment (linguistics)Human immunodeficiency virus (HIV)Economic growthPolitical scienceMedicineNursingFamily medicineEconomics

Abstract

fetched live from OpenAlex

Community-based organizations (CBOs) are an important model for the care of orphans and other vulnerable children whose life and development are threatened by human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) and poverty. However, data are lacking on the challenges and solutions enabling successful expansion of these programs to the national level. This article presents some of the experiences encountered by Malawi in the expansion of their network of CBOs. Challenges addressed by CBO, intergovernmental organisation (IGO) and government leaders centred on developing a shared understanding of goals and solutions as well as on obtaining, training and retaining sufficient care providers. The implications of Malawi's experience in these areas for the effectiveness of other programs are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.317
Teacher spread0.271 · 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.

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

Citations4
Published2010
Admission routes1
Has abstractyes

Explore more

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