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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 OpenAlexaff
Raaj Tiagi

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.351

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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

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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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