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Record W4249765540 · doi:10.7765/9781526147431.00018

Persistence and privilege

2021· book-chapter· en· W4249765540 on OpenAlexaboutno aff
Jean P. Smith

Bibliographic record

VenueManchester University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsCommonwealthImmigrationColonialismPolitical sciencePoliticsPolitical economyPrivilege (computing)IdeologyDevelopment economicsIncentiveEconomic historyHistorySociologyLawEconomics

Abstract

fetched live from OpenAlex

Though it has received less attention than migration to the United Kingdom after the Second World War, rates of migration from the United Kingdom were significant in this period, outpacing immigration until late into the twentieth century. While some Britons moved to destinations outside of the Commonwealth, such as the United States and, later, Europe, the majority moved to the settler colonies of the ‘old’ Commonwealth: Australia, Canada, New Zealand, South Africa and Rhodesia. These nations offered subsidies and incentives to British and other European migrants as they sought to increase their supply of skilled workers and increase their white populations. Despite the increasing political separation between Britain and the former Dominions and the development of domestic rather than imperial national cultures and identities, until the late twentieth century these countries continued to recruit and subsidise British migration. This migration reflects the long legacy of imperial and settler colonial racial ideologies not only in the formation of these immigration policies, but also in often implicit beliefs about identity and belonging, about who is a desirable migrant and what kind of migration is unremarkable.

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: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.045

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 studies0.0050.015
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.069
GPT teacher head0.227
Teacher spread0.158 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueManchester University Press eBooksSame topicAustralian History and SocietyFrench-language works237,207