“Crashing America’s Back Gate”: Illegal Europeans, Policing, and Welfare in Industrial Detroit, 1921-1939
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
Between 1921 and 1939, the border separating Detroit, Michigan, from Windsor, Canada, represented a key site for undocumented immigration on America’s northern border, and the migrants in question were European. This essay examines industrial urban America in the wake of 1921 and 1924 Immigration Acts to reveal the effects of restriction and policing on America’s emerging welfare state. It finds that in Detroit, after federal policies gave nativism the force of the law, local smuggling, policing, and enforcement practices branded foreign-born Europeans as illegal regardless of their legal status. During the New Deal Era, when the federal government built America’s welfare system, the stakes for belonging to the nation-state became higher than ever. In this moment of transition, local actors drew on rhetoric connecting foreigners to crime and dependence to urge federal policymakers to tie welfare benefits to citizenship. These local initiatives in Detroit and across the nation prompted the federal government to purge non-citizens from the Works Progress Administration, the new welfare program most associated with dependence and relief. Ultimately, this essay argues that a shift in national mood about foreignness in urban America took hold of the United States in the 1920s and shaped federal welfare policy by the 1930s.
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) | 0.001 | 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