Collaborative Regionalism and Foreign Direct Investment
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
Jurisdictions in the Southeast Automotive Core (SEAC), encompassing Alabama, Georgia, Mississippi, South Carolina, and Tennessee, have attracted 8 of the 11 light vehicles assembly plants built by the “New Domestics” in the United States over the past 20 years (i.e., Toyota, Honda, Nissan, Hyundai, Volkswagen, Mercedes, and BMW). Through case studies of the Toyota-PUL Alliance of Northeast Mississippi and the Hyundai-Kia Auto Valley Partnership of east-central Alabama and west-central Georgia, this article chronicles how by working together, certain subregions within the SEAC have gained a comparative advantage in their competitions for New Domestics Foreign Direct Investment. Overall, the findings of this study show how local governments in the form of the collaborative region still can be an important economic development agent within an ever-globalizing economy. As a result, this article should prove informative to development scholars and practitioners in the United States and Canada, especially in areas combating economic/fiscal distress.
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 | 0.000 |
| 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