Can Industrial Reinvestment Reverse Neighborhood Decline? Evidence from Automotive Investment in Detroit, Michigan, and Windsor, Ontario, 1980s-2020s
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
Under what conditions does industrial reinvestment contribute to the revitalization of distressed central-city neighborhoods? This paper compares the redevelopment of the Greater Conner District in Detroit, Michigan, which is home to the largest Stellantis automotive assembly complex in North America, with that of the East Windsor District in Windsor, Ontario, which is similarly cut through and encircled by automotive factories. Thanks to significant reinvestment from the early 1990s onward, both districts have retained thousands of advanced manufacturing jobs after previously suffering deindustrialization. Both are touted as economic development success stories. Yet whereas East Windsor has stabilized as a community, Greater Conner has suffered ongoing abandonment. This paper compares the history of economic and community development initiatives in the two districts, including investments at the community, local, state/provincial, and federal levels, to explain why East Windsor's residential and commercial areas have fared significantly better than those of Greater Conner.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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