Investment in Growth of Tennessee's Workforce and Local Workforce Investment Areas for the Short- and Long-term,
Bibliographic record
Abstract
longer than ever Development in the last quarter Areas. century, Duration while of unemployment unemployment is claims longer than have ever been in increasing the last quarter monthly by double-digit percentages. century, while Some unemployment recent data show claims some have improvement been increasing among monthly otherwise by mixed double-digit employment indicators. Consumer percentages. confidence Some is recent improving, data along show with some favorable improvement interest among rates. otherwise Checking and mixed savings deposits are growing, employment but general indicators. consumption Consumer and confidence housing and is vehicle improving, sales along remain with tepid. favorable Nationally interest the rate of increase in wages rates. and Checking benefits and of savings workers deposits has slowed are growing, from 2006. but Revival general of consumption industry depends and housing on workers balancing necessary and vehicle expenditures sales remain while increasing tepid. Nationally savings. the Improvement rate of increase in employment in wages and usually benefits contributes of to increasing consumption workers has of slowed goods, but from an increase 2006. Revival in employment of industry is also depends the result on of workers increased balancing consumption. necessary expenditures while increasing savings. Improvement in employment usually Goods-producing contributes industries to are increasing projected consumption to decline of sharply goods, but at an 3.3 increase percent in during employment 2009-2010. is also the Serviceproviding
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".