Bibliographic record
Abstract
Abstract This book examines the origins of immigration restriction in the United States, especially deportation policy. Based on an analysis of immigration policies in major American coastal states, including New York, Massachusetts, Pennsylvania, Maryland, Louisiana, and California, it provides the first sustained study of immigration control conducted by states prior to the introduction of federal immigration law in the late nineteenth century. The influx of impoverished Irish immigrants over the first half of the nineteenth century led nativists in New York and Massachusetts to develop policies for prohibiting the landing of destitute foreigners and deporting those already in the states to Europe, Canada, or other American states. No other coastal state engaged in immigration regulation with the same level of legislative effort and success as the two states. By locating the roots of American immigration control in cultural prejudice against the Irish and, more essentially, economic concerns about their poverty in nineteenth-century New York and Massachusetts, this book fundamentally revises the history of American immigration policy, which has largely focused on anti-Asian racism on the West Coast. Beginning with Irish migrants’ initial departure from Ireland, this book traces their transatlantic movement to North America, expulsion from the United States, and postdeportation lives. In doing so, it places the implementation of American deportation policy in a broad context that extended from the United States to Ireland, Britain, and Canada, demonstrating how the policy operated as part of a larger legal culture of excluding nonproducing members from societies in the Atlantic world.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
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".