A spatial examination of Ohio’s economic growth
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
It is widely acknowledged that Ohio’s economy involves distinct spatial patterns across difierent regions of the state. Despite this, data sources have not been available at a small enough spatial scale to al-low analysis of patterns of labor market change over time in urban, suburban and outlying areas. This study draws on a new database de-rived from establishment level (ES202) information on employment and earnings developed by the Ohio Urban Universities Program (UUP). The database allows us to examine growth of employment and earnings over the period from the flrst quarter of 1989 to the flrst quarter of 1998 for each zip-code area in the state. A major feature of the chang-ing economic landscape during the last decade has been the movement of flrms from urban to suburban and outlying locations. Our exami-nation analyzes these changing patterns of employment, earnings and establishments by classifying the 1,009 Ohio zip-code areas into urban, suburban and outlying areas. ⁄The authors would like to thank the Ohio Urban Universities Program for funding of the development of the ES202 data used in this study. 1 1
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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 | 0.000 | 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) | 0.012 | 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