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Record W1494099326 · doi:10.1017/cbo9781139208741

Migration and National Identity in South Africa, 1860–2010

2013· book· en· W1494099326 on OpenAlexaboutno aff
Audie Klotz

Bibliographic record

VenueCambridge University Press eBooks · 2013
Typebook
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsProsperityNationalismDemocratizationPolitical scienceImmigrationFatalismEthnic CleansingMulticulturalismPolitical economyIdentity (music)Gender studiesState (computer science)Development economicsSociologyEthnic groupDemocracyPoliticsLaw

Abstract

fetched live from OpenAlex

An extraordinary outbreak of xenophobic violence in May 2008 shocked South Africa, but hostility toward newcomers has a long history. Democratization has channeled such discontent into a non-racial nationalism that specifically targets foreign Africans as a threat to prosperity. Finding suitable governmental and societal responses requires a better understanding of the complex legacies of segregation that underpin current immigration policies and practices. Unfortunately, conventional wisdoms of path dependency promote excessive fatalism and ignore how much South Africa is a typical settler state. A century ago, its policy makers shared innovative ideas with Australia and Canada, and these peers, which now openly wrestle with their own racist past, merit renewed attention. As unpalatable as the comparison might be to contemporary advocates of multiculturalism, rethinking restrictions in South Africa can also offer lessons for reconciling competing claims of indigeneity through multiple levels of representation and rights.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0010.002
Open science0.0000.002
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 head0.026
GPT teacher head0.221
Teacher spread0.195 · 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
GenreOther

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

Citations87
Published2013
Admission routes1
Has abstractyes

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