Rust and reinvention: Im/migration and urban change in the American Rust Belt
Bibliographic record
Abstract
Abstract Immigration represents a promising counternarrative for Rust Belt cities in the 21st century. Increasingly, both immigrants and refugees are part of the comeback stories of Northeastern and Midwestern cities from Buffalo to Dayton and Pittsburgh. This review explores recent research in urban geography and allied disciplines focusing on the international migration patterns, processes, and politics reshaping the urban geography of the American Rust Belt. Recent research sheds crucial light on how im/migrant lives are reshaping urban landscapes of Rust Belt cities, and conversely, how local immigration policies in these cities are rearranging the uneven geographies of immigrant receptivity across the United States. Overall, this review highlights the limitations of the singular spatial imaginary of the Rust Belt advanced previously by many urbanists. Rather, this review illustrates the rich, complex, and tangled contemporary spatial nuances associated with international migration in this region. These spatial nuances are complicated by increasingly exclusionary immigration policy and rhetoric at the federal level since January of 2017.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".