Evidence from the Private Option: The Arkansas Experience
Bibliographic record
Abstract
Issue: Arkansas was the first state to receive approval to expand Medicaid under the Affordable Care Act through a Section 1115 waiver. This approach, known as the "private option," uses Medicaid funds to purchase private health plans on the state’s marketplace. It is intended to promote market competition, continuity of coverage, and greater access to care. Goal: To describe the key features of the private option and evaluate its impact on health care for low-income adults in the state after two years. Methods: Survey data from 2013–2015 that assessed health insurance coverage, access to care, utilization, and self-reported health among low-income adults in Arkansas compared to adults in two other states. Key findings and conclusions: Arkansas’s private option improved access to primary care and prescription medications, reduced reliance on the emergency department, increased use of preventive care, and improved perceptions of quality and health among low-income adults in the state, compared to Texas, which did not expand Medicaid. Arkansas’s benefits were similar to those observed in Kentucky’s traditional Medicaid expansion. Churning in coverage remained a challenge for nearly a quarter of low-income adults each year.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".