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Record W1564575022 · doi:10.1080/0376835x.2015.1039708

Children in Zimbabwe after the long crisis: Situation analysis and policy issues

2015· article· en· W1564575022 on OpenAlexaff
Lauchlan T. Munro

Bibliographic record

VenueDevelopment Southern Africa · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychosocialHarmMalnutritionEconomic growthWelfareGovernment (linguistics)Political scienceSocial WelfareDevelopment economicsMedicineEconomicsPsychiatry

Abstract

fetched live from OpenAlex

Children in Zimbabwe suffered badly during the long crisis from circa 1990 to 2008 as the economy and social services collapsed, under-five mortality, maternal mortality and malnutrition rose, the number of orphans increased 20-fold and thousands of children experienced psychosocial trauma. Recent household surveys in Zimbabwe show that most indicators of child welfare remain at or below where they were 25 years ago. Many effects of the crisis on children are long term, even permanent, including prenatal and early childhood malnutrition, orphanhood, traumas from witnessing or being victims of violence, and disrupted education. This article analyses the Government of Zimbabwe's two most recent national development plans in relation to children's needs and rights as expressed in major international declarations. Suggestions are made for focusing on re-establishing basic services to break the cycle of harm to children, build children's capacities and deal with past traumas.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0060.003
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.279
Teacher spread0.262 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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