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Record W2034994973 · doi:10.1017/s174002281300048x

Immigration restriction: rethinking period and place from settler colonies to postcolonial nations

2014· article· en· W2034994973 on OpenAlexaboutno aff
Alison Bashford

Bibliographic record

VenueJournal of Global History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationRace (biology)Political scienceColonialismImmigration and crimeState (computer science)Political economyImmigration policyDevelopment economicsHistoryEconomic historyGender studiesGenealogySociologyLawEconomics

Abstract

fetched live from OpenAlex

Abstract Immigration acts have long been analysed as instrumental to the working of the modern nation-state. A particular focus has been the racial exclusions and restrictions that were adopted by aspirationally white, new world nation-states: Australia, New Zealand, Canada, and the United States. This article looks again at the long modern history of immigration restriction in order to connect the history of these settler-colonial race-based exclusions (much studied) with immigration restriction in postcolonial nation-states (little studied). It argues for the need to expand the scope of immigration restriction histories geographically, temporally and substantively: beyond the settler nation, beyond the Second World War, and beyond ‘race’. The article focuses on the Asia-Pacific region, bringing into a single analytical frame the early immigration laws of New Zealand, Australia, the United States, and Canada on the one hand and those of Malaysia, Singapore, Hong Kong, and Fiji on the other.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.063
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0080.017
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.003
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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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

Citations54
Published2014
Admission routes1
Has abstractyes

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