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Record W1973789168 · doi:10.1080/713680503

Re-reading Arab World‐New World immigration history: Beyond the prewar/postwar divide

2000· article· en· W1973789168 on OpenAlexaboutno aff
Brian Aboud

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
FundersHeriot-Watt University
KeywordsImmigrationWorld War IIReading (process)NarrativeTheme (computing)First world warHistorySettlement (finance)World historyPolitical economyPolitical scienceEconomic historySociologyAncient historyLawLiteratureArtEconomics

Abstract

fetched live from OpenAlex

Historical accounts of Arab migration to and settlement in the 'New World' are commonly structured in terms of a dominant theme of disruption or discontinuity centred on an immigration hiatus variously located during the interwar and World War II periods. The narratives are, hence, organised around a prewar/postwar dichotomy that posits distinctive and mutually exclusive migratory waves - one spanning the late nineteenth and early twentieth centuries, the other commencing immediately after World War II. This article presents a more nuanced, if not an alternative, reading of that immigration history as it pertains to flows from Arab World sources to Canada and Australia and, for purposes of comparison, to the USA. This (re)reading locates continuities in global structures and in micro-level migratory processes and entry regulation practices that transcend the prewar/postwar divide and that link Arab World-New World migrations across time and space.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.009
Scholarly communication0.0060.006
Open science0.0010.002
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 head0.073
GPT teacher head0.336
Teacher spread0.263 · 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 designQualitative
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

Citations14
Published2000
Admission routes1
Has abstractyes

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