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Record W2498496430 · doi:10.1057/9780230205147_3

‘The thinking is done in London’: South Africa’s English Language Press and Imperialism

2006· book-chapter· en· W2498496430 on OpenAlexaboutno aff
John Lambert

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsBritish EmpireDiasporaHistoriographyHistoryIdentity (music)White (mutation)English languageEmpireGender studiesEthnologyAncient historySociologyArtArchaeologyPsychology

Abstract

fetched live from OpenAlex

In recent years the resurgence of interest in questions of identity in Britain and the former Dominions of the British Empire has had a marked effect on historiographical studies of what has come to be called the ‘British world’. In South Africa this has led to the appearance of a number of studies of British, or as they were known by the early twentieth century, English-speaking, South Africans. 1 Although part of the same imperial diaspora that saw British settlers populate Canada, Australia and New Zealand, the experience of English-speaking South Africans differed markedly. Unlike their cousins in the Dominions, they were a minority within white society, which in turn was a minority within the wider society. This was to affect the way in which they viewed themselves, as both South Africans and as British. It was also to have a direct bearing on the way in which the English-language press developed in South Africa. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.010
Scholarly communication0.0090.007
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.229
Teacher spread0.214 · 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
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

Citations6
Published2006
Admission routes1
Has abstractyes

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