Arabic-Speaking Migrants in 19th- and 20th-Century Latin America
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".