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Record W222607782 · doi:10.3138/cjh.46.1.63

“An issue that could tear us apart”: Race, Empire, and Economy in the British (Welfare) State, 1968

2011· article· en· W222607782 on OpenAlexvenueno aff
Nicole Longpré

Bibliographic record

VenueJournal of History · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationRacismOpposition (politics)Psychological nativismPolitical economyWelfare stateSociologyPoliticsPolitical scienceLawGender studies

Abstract

fetched live from OpenAlex

Literature on immigration and race relations in 1960s Britain has consistently emphasized legislation of this period as “racist” in intent. Insufficient attention has been paid to the deconstruction of the language surrounding anti-immigration sentiment. In the context of the 1968 Kenyan Asians crisis, Commonwealth Immigrants Act, and Race Relations Act, popular anti-immigrant sentiment was not couched in singularly definable terms of racism. However, much opposition to immigration was expressed in a manner that suggested a defensive and exclusive sense of British national identity, described in terms that reflected concerns about the appendages of the postwar welfare state. This language suggests that anti-immigration sentiment ought to be placed in a broader context of economic and socio-political decline in Britain, rather than read exclusively as an expression of some objectively definable notion of “racism.”

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.755

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.007
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0020.002
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 head0.041
GPT teacher head0.261
Teacher spread0.220 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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