Appalachian Migration Patterns, 1975-1980 and 1985-1990
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
following characteristics:! Appalachia experienced remarkable demographic change; in- and outmigration accounted for a turnover of over a quarter of the region’s population.! Appalachia has become an amenity region for students seeking higher education; over 100,000 more college-enrolled students came into the region than departed it.! Older Appalachians have been aging in place; relatively few persons 65 or older were newcomers to the region.! Appalachia has become more diverse; African-American and Hispanic populations increased through migration, especially in the Southern sub-region.! Appalachia has become poorer; migrants entering the region had lower-status jobs, lower incomes, less education, and were more likely to be living in poverty than those leaving the region.! Conditions vary widely among Appalachian sub-regions. Northern and Central Appalachia have been losing population while simultaneously becoming a destination for low-income, blue-collar migrants with little formal education. Southern Appalachia has been gaining population, and its inmigrants were more ethnically and racially diverse, better paid, more educated, and worked at higher status jobs than did migrants entering the other two sub-regions.! Appalachian migration patterns have changed from long-range flows into distant metropolitan areas to short-range exchanges principally centered around cities in and immediately adjacent to the region.
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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) | 0.000 | 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