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Record W2514848636 · doi:10.17159/2223-0386/2016/n15a1

Creating a British World: British colonial teachers and the Anglicising of Afrikaner children

2016· article· en· W2514848636 on OpenAlexaboutno aff
Cheryl S. Le Roux

Bibliographic record

VenueYesterday and Today · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismHistoryAncient historyArchaeology

Abstract

fetched live from OpenAlex

The contribution of the British Colonies in supporting Britain in its quest to promote English and British culture amongst Afrikaner children during and in the aftermath of the Anglo Boer War is examined in this article. A cursory background to the circumstances that shortly preceded the Anglo Boer War is provided to present the context of the study. Next, the role of the press in shaping opinions on and attitudes towards the key role players in the war is offered. This aspect is included since it points to how the opinions of British colony teachers who were recruited to teach Afrikaner children in South Africa had been shaped. This section is followed by an overview of concentration camp schools and an outline of the prevailing conditions of schooling at that time. Hereafter the experiences of teachers who had been recruited from each of three British Colonies -New Zealand, Canada and Australia -are presented. These experiences give the reader insight into how teaching occurred, what it comprised and how it was received by Afrikaner children who survived the concentration camps. This article aims to add to the body of knowledge on schooling during the time of the Anglo Boer War and the role that the British played in the provisioning of education. The article also outlines the attempts of the British to Anglicise Afrikaner youth. The research evidences that the explicit role of these teachers was to inculcate the English language and customs in Afrikaner children during and after the Anglo Boer War.

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 score0.373
Threshold uncertainty score0.994

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

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