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
Health insurance contracts may restrict consumers' choice of medical provider (e.g., hospital) in order to minimize moral hazard inefficiencies. In this article, I assess the economic value of this strategy by comparing the estimated “option value” that consumers assign to provider choice to the negotiated discounts that insurers can achieve by negotiating with a restricted set of providers (i.e., volume discounts). Using a panel of federal employees' health plan choices from 1999 to 2003, I show that the practice of selective contracting (SC) with a limited set of hospitals reduced health maintenance organization (HMO) plans' expected utility by $62–$118, on average, for a standard reduction in the provider choice set. I also conduct simulations which show that by 2003 health plans using SC were theoretically unable to achieve sufficiently large volume discounts from hospital providers to fully compensate for the associated utility losses. My results help to explain the flight from HMO enrollments that occurred in the early 2000s . ( JEL I10, I11, L15, D83, D12)
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 | 0.002 | 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 | 0.000 |
| 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 it