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Record W4387532744 · doi:10.4000/books.pulm.14908

Seeds of Transformation in South African Child Welfare

2009· book-chapter· en· W4387532744 on OpenAlexaff
Jeanette Schmid

Bibliographic record

VenuePresses universitaires de la Méditerranée eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsCARE Canada
Fundersnot available
KeywordsWelfarePovertySocial WelfareResource (disambiguation)Political scienceDevelopment economicsEconomic growthSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

This article attempts to explore how child welfare has shifted since apartheid and how it is (or not) responding to the needs of vulnerable children and their families in South Africa. South Africa introduced an extremely progressive Developmental Social Welfare approach in 1996. Child welfare in particular has struggled to transform itself to this more family-centred, community-based approach. In part this is connected to enormous resource constraints and the crisis of poverty, crime and AIDS. However, the core assumptions of a child protection model, heavily imbued by Anglo-American, ‘first world’ perspectives constrain practice from becoming more relevant to the needs of the majority of South Africans.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.039
Scholarly communication0.0070.006
Open science0.0010.011
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.263
Teacher spread0.247 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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