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Record W2914170207 · doi:10.3138/jcfs.47.3.309

The Family in Modern South Africa: Insights from Recent Research

2016· article· en· W2914170207 on OpenAlexvenueno aff
R. Sooryamoorthy, Mzwandile Makhoba

Bibliographic record

VenueJournal of Comparative Family Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsGrandparentUrbanizationExtended familyEthnic groupContext (archaeology)IndustrialisationPoliticsFamily lifeDeveloping countryDevelopment economicsSociologyGender studiesPolitical scienceGeographyEconomic growthEconomicsAnthropology

Abstract

fetched live from OpenAlex

The family in South Africa does not present uniform characteristics. It exhibits features that are dissimilar in terms of structure, form, role and functions. It has also been assumed to produce forms characteristic of different race and ethnic groups. Irrespective of these forms, changes are manifest in the family. The colonial and apartheid legacies had a strong impact on family life in the country. Ranging from industrialization to urbanization to labour migration there were crucial and decisive factors that changed the way the family functions or had previously functioned. Some of these changes are quite prominent and are found in the position of children and the roles of mothers, fathers and grandparents. There have also been notable changes in fertility, which has been low in relation to that of other sub-Saharan countries. Furthermore, there is evidence of the emergence of new forms of the family. The same-gendered type is one example. In the given context of these unique historical, social and political circumstances, this paper reviews some of the recent important studies of the family in South Africa. It offers insights into the transition that the South African family has been undergoing.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.009
Science and technology studies0.0030.007
Scholarly communication0.0030.005
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.252
GPT teacher head0.425
Teacher spread0.173 · 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

Citations62
Published2016
Admission routes1
Has abstractyes

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