Ill. House agrees to fund specific budget shortfall
Bibliographic record
Abstract
In a rare show of bi-partisanship, the Illinois House's agreed to the governor's request to fund a 1.6 billion dollar deficit that will pay prison guards and keep day care programs open. In broad terms, the bill will take 1.3 billion dollars from special funds earmarked for road construction and fire prevention. The other $300 million'll come from cutting two and a quarter percent between now and the end of the states fiscal year, in june. which is the end of the state's fiscal year. Budget winners in the House bill include a subsidized child care program for the poor that was running out of money... That'll receieve 226 million dollars. Another $117 million'll pay employees at Illinois prisons. with 75 milliopn going to mental health services, caring for people with developmental disabilities, the elderly and disabled. Losers in the budget: schools, roads and hospitals. Schools could lose an estimated $150 million through the end of June. and Hospitals'll be asked to pony up 27 million dollars more in assessments to avoid deeper cuts to their reimbursement rates. And trade unions are concerned taking money from the Road Fund will compromise the Illinois Department of Transportation's ability to maintain the state's infrastructure. Governor Rauner (R'Owe-Nur) has discretion over spending of almost $200 million of of that money to help school district or close other budget holes that legislators didn't predict. House Speaker Michael Madigan says the bill isn't pretty but it responds to the problem. The bill passed the House 69 to 48, with all but one Republican legislator voting yes. The Senate considers the bill Thursday.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.009 |
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; both teacher heads agree on what is shown here.
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".