Subsidiary networks, connectivity, and urban-regional economic development
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
This paper argues that urban-regional income development depends on a larger fabric of economic relations at the national and international levels. Focusing on Core-Based Statistical Areas (CBSAs) in the US, the paper identifies firms’ subsidiary networks across space and their changes over time. These networks form a basic architecture through which important growth impulses in production and innovation are transmitted that impact urban income levels. Using a balanced panel of U.S. CBSAs with LexisNexis Corporate Affiliations data from 1993 until 2017, we develop a model that examines the relationship between national and international connectivity and urban income levels, differentiated by origin/destination of ties, industrial sectors, and various interaction effects. Our results strongly support that linkages at both the national and international scale (particularly linkages with European locations) are significantly related to urban-regional income development.
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 | 0.001 |
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