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
The federal Trade Adjustment Assistance (TAA) program was established to mitigate the economic and personal harm caused by trade-related job loss. During the 2007 recession, Ohio saw record numbers of workers become eligible for the program. In 2011, the second year of the recovery, the number of petitions certified under the program and the number of impacted workers has sharply declined.Eligibility requirements and benefits have varied since the program's enactment in 1974. TAA has generally provided subsidized training, a refundable tax credit for health coverage, case management and some income support to eligible workers who exhaust unemployment insurance benefits. TAA provides more comprehensive support than unemployment compensation and is available for a longer period of time, going beyond even the 99 weeks of unemployment compensation that was available under federal extended UC benefits until earlier this year.Key findingsTAA petitions and certifications, fell in 2011. The number of impacted workers dropped more than 78 percent.Most 2011 petitions cited outsourcing as the cause for TAA coverage.The service sector, which won't be eligible if current TAA rules are allowed to lapse in 2013, accounted for nearly 40 percent of certifications for outsourcing.More than a quarter of all 2011 certifications would be ineligible
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 | 0.022 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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