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Record W1519880192 · doi:10.38140/pie.v30i1.1740

Rural school children picturing family life

2012· article· en· W1519880192 on OpenAlexaff
Naydene de Lange, Tilla Olivier, Johanna Geldenhuys, Claudia Mitchell

Bibliographic record

VenuePerspectives in Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsRuralityContext (archaeology)Rural areaFamily lifeInsiderPerspective (graphical)Everyday lifeCitizen journalismParticipatory action researchPopulationSociologyGeographySocioeconomicsEconomic growthPsychologyPolitical scienceDemography

Abstract

fetched live from OpenAlex

Rurality is an active agent and central to the lived experiences of children growing up on a farm and attending a farm school. It is a key to their everyday experiences, and influences family life, schooling and their future. Previous studies elsewhere in the world have explored the notion of childhood in rural contexts, but there is a dearth of similar research in South Africa, which has a vast section of the population living in rural areas and therefore a vast number of children attending school in rural areas. A farm school – a public school on private property - provides the context for this study’s exploration of children’s views of family life in a rural area. The data was obtained using drawing as a visual participatory methodology with 16 primary school children, aged between 6 and 10, both boys and girls, providing an insider local perspective on growing up on a farm in a rural environment. How do children picture their lives? What do these pictures tell about rural family life? How does this influence schooling? This paper reports the findings and makes critical recommendations for turning the tide for children in rural education contexts.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.080
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.378
Teacher spread0.352 · 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.

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

Citations10
Published2012
Admission routes1
Has abstractyes

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