The Health Reform Monitoring Survey: Addressing Data Gaps To Provide Timely Insights Into The Affordable Care Act
Bibliographic record
Abstract
The Health Reform Monitoring Survey (HRMS) was launched in 2013 as a mechanism to obtain timely information on the Affordable Care Act (ACA) during the period before federal government survey data for 2013 and 2014 will be available. Based on a nationally representative, probability-based Internet panel, the HRMS provides quarterly data for approximately 7,400 nonelderly adults and 2,400 children on insurance coverage, access to health care, and health care affordability, along with special topics of relevance to current policy and program issues in each quarter. For example, HRMS data from summer 2013 show that more than 60 percent of those targeted by the health insurance exchanges struggle with understanding key health insurance concepts. This raises concerns about some people's ability to evaluate trade-offs when choosing health insurance plans. Assisting people as they attempt to enroll in health coverage will require targeted education efforts and staff to support those with low health insurance literacy.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".