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Record W4322768027 · doi:10.1080/19438192.2023.2183321

Occupational distribution and mobility of migrants born in South Asia: evidence from England/Wales Census, 1901–1911

2023· article· en· W4322768027 on OpenAlex
Raaj Tiagi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSouth Asian Diaspora · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsVancouver Community College
Fundersnot available
KeywordsImmigrationDiasporaCensusEmigrationEthnic groupSouth asiaGeographyPosition (finance)HistoryDistribution (mathematics)Occupational mobilityEthnologyDemographic economicsDemographyGender studiesSociologyPopulationEconomicsArchaeologyAnthropology

Abstract

fetched live from OpenAlex

South Asians constitute Britain's largest ethnic minorities, yet very little is known about their migration history in the prewar era. Recent literature has begun to challenge the widely held view that South Asian migration to Britain was a post-war phenomenon in response to Britain's need for labour as it emerged from two costly wars. The literature has demonstrated that the South Asian presence in Britain can be traced back to the seventeenth century. This paper adds to that literature by analysing the occupation distribution and mobility of South Asian-born migrants during the early twentieth century. Regression results from the 1901 and 1911 Censuses of England and Wales suggest that relative to other foreign-born and British-born, South Asian-born immigrants were primarily employed in white-collar jobs, a position they largely retained until at least 1911. These results suggest that the South Asian diaspora was economically well assimilated into the British economy.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.300
Teacher spread0.268 · 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