Policing, Profits, and the Rise of Immigration Detention in New York's “Chinese Jails”
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
“Policing, Profits, and the Rise of Immigration Detention in New York's ‘Chinese Jails’” explains how Chinese exclusion law created a “detention economy” in upstate New York. From 1900–1909, Northern New York jails held thousands of Chinese migrants who had been apprehended by immigration authorities crossing the U.S.-Canada border, and had filed habeas corpus claims in district courts. While scholarship on Chinese Exclusion has addressed the legal battles around due process, it has overlooked the detention infrastructure that these claims produced. Because the federal immigration service had no detention facilities in the region, they “boarded out” Chinese detainees at local jails, paying counties a nightly rate for each migrant held. These contracts transformed Chinese migrants into a commodity for rural communities looking to secure federal cash, with four Northern New York counties constructing separate “Chinese Jails” in order to increase the number of Chinese migrants they could incarcerate. This article challenges the scholarship that has presented immigration detention as a Cold War era development, instead showing how communities profited off jailing migrants at the turn of the century. Through the case of U.S. v. Sing Tuck, I argue that immigration officials eventually turned to the courts to streamline deportations and reduce their need for jail 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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it