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Arabic-Speaking Migrants in 19th- and 20th-Century Latin America

2019· reference-entry· en· W2982364741 on OpenAlexaboutno aff
Lily Pearl Balloffet

Bibliographic record

VenueOxford Research Encyclopedia of Latin American History · 2019
Typereference-entry
Languageen
FieldArts and Humanities
TopicHispanic-African Historical Relations
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansMiddle EastGeopoliticsImmigrationEmpireBoomQuarter (Canadian coin)GeographyEconomic historyArabicHistoryAncient historyPolitical scienceEthnologyPoliticsArchaeologyLaw

Abstract

fetched live from OpenAlex

Abstract Global transoceanic migration booms of the 19th century brought with them more than a quarter of a million migrants from the Arabic-speaking eastern Mediterranean destined for Latin American cities, towns, and rural outposts across the region. Over the course of the early 20th century, a near-constant mobility of circulating people, things, and ideas characterized the formation of immigrant identities and communities with roots primarily in the Levantine area of the Middle East. Over time, historians of this migration have come to interpret as central the transnational and transregional nature of the ties that many individuals, families, and institutions in Latin America carefully maintained with their counterparts across the Atlantic. As the 20th century progressed, Middle Eastern migrants and their subsequent generations of descendants consolidated institutions, financial networks, and a plethora of other life projects in their respective Latin American home places. Meanwhile, they continued to seek meaningful participation in the realities of a Middle East-North Africa region undergoing deep shifts in its geopolitical, social, and cultural landscapes from the disintegration of the Ottoman Empire and the end of World War I, through the tumultuous century that followed.

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 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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.066
GPT teacher head0.292
Teacher spread0.226 · 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 teacher head, not a consensus.

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
Published2019
Admission routes1
Has abstractyes

Explore more

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