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Record W2093667803 · doi:10.5785/19-1-93

Rajend Mesthrie. 2003. Language in South Africa. Cambridge Africa Collection. Cambridge University Press

2011· article· en· W2093667803 on OpenAlexaboutno aff
Elaine Ridge

Bibliographic record

VenuePer Linguam · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)Focus (optics)Political scienceMedia studiesGeographyHistorySociologyEconomic historyComputer science

Abstract

fetched live from OpenAlex

CUP: 485ppThis is the latest volume in the Cambridge Africa Collection.It should also be seen in relation to four other volumes published by Cambridge, which focus on language in Britain, Canada, the USA and Australia, repectively.In the introduction, Mesthrie explains the format of the book and pithily describes some of the particular challenges faced in deciding where the focus would fall.In the end, the volume comes closest to its Australian counterpart.In that case the divisions were 'Aboriginal and Islander languages; Pidgins and Creoles; transplanted languages other than English; Varieties of Australian English; Public policy and social issues (p.3).In the the South African volume Part I covers (albeit not exhaustively) the main languages in the country.Part II deals with language contact.And Part III is concerned with language planning, policy and education.Mesthrie explains how, after considerable debate, the authors decided to use the potentially loaded terms black, coloured and white.African language names are used without prefixes (Xhosa rather than isiXhosa).

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.048
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.009
Science and technology studies0.0020.001
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0480.019

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 head0.039
GPT teacher head0.205
Teacher spread0.166 · 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
GenreReview

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

Citations1
Published2011
Admission routes1
Has abstractyes

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