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Record W1979515334 · doi:10.1093/jahist/97.2.464

Imaginary Lines: Border Enforcement and the Origins of Undocumented Immigration, 1882-1930. By Patrick Ettinger. (Austin: University of Texas Press, 2009. xii, 244 pp. $60.00, ISBN 978-0-292-72118-0.)

2010· article· en· W1979515334 on OpenAlexaboutno aff
Grace Peña Delgado

Bibliographic record

VenueJournal of American History · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPolitical scienceBureaucracyAgency (philosophy)Immigration lawLawHistoryPolitical economySociologyPoliticsSocial science

Abstract

fetched live from OpenAlex

Patrick Ettinger's Imaginary Lines is an examination of immigration controls and undocumented immigration at the U.S. southern and northern borders. At the heart of Ettinger's analysis is an exploration of human agency and the ways Chinese, European, and later, Mexican immigrants entered the United States illegally despite the presence of an immigration bureaucracy designed to exclude. Ettinger places his study at the juncture of two contradictory tensions that helped define the U.S. southern and northern borders almost since their delineation: while substantial border controls were well in place by the late 1890s, fluidity of movement prevailed through the early 1930s. Imaginary Lines begins by tracing the relationship between the mid-nineteenth-century nativist movement and its late nineteenth- and early twentieth-century corollary. As Ettinger deftly shows, early American immigration policy (1840s–1880s) was wedged between state and federal jurisdiction and fraught with inconsistencies. Yet there was little doubt that immigration policy favored propertied and productive immigrants over poor and dependent newcomers. Although immigration restrictions barred prostitutes, paupers, contract laborers, and the Chinese at maritime ports of entry, immigrants traversed the land borders of Canada and Mexico and reached the United States almost unfettered. In Ettinger's estimation, early border-crossing activities directly led to the creation of the Bureau of Immigration in 1891 and circumscribed the way federal border controls endeavored to prevent illegal immigration well into the twentieth century.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.738
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.241
Teacher spread0.235 · 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
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
Published2010
Admission routes1
Has abstractyes

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