Bibliographic record
Abstract
Preface to the Second Edition vii Introduction 1 Part I: The Uninsured, Health Costs, and Public Programs The U.S. Health System: On a Road to Nowhere? / Jonathan Oberlander 5 Wanted: A Clearly Articulated Social Ethic for American Health / Uwe E. Reinhardt 25 From Bismarck to Medicare - A Brief History of Medical Payment In America / Donald L. Madison 31 The Sad History of Health Cost Containment as Told in One Chart / Drew E. Altman and Larry Levitt 67 The Unsurprising Surprise of Renewed Health Cost Inflation / Henry J. Aaron 70 The Not-So-Sad History of Medicare Cost: Containment as Told In One Chart / Thomas Bodenheimer 73 Medicaid and Medicare: The Unanticipated Politics of Public Insurance Programs / Lawrence d. Brown and Michael S. Sparer 76 Part II: Managed Care, Markets, and Rationing Bedside Manna / Deborah Stone 95 Must Good HMOs Go Bad? The Commercialization of Prepaid Group Health / Robert Kuttner 107 Defending My Life / Geov Parrish 119 Business vs. Medical Ethics: Conflicting Standards for Managed / Wendy K. Mariner 128 The Prostitute, the Playboy, and the Poet: Rationing Schemes for Organ Transplantation / George J. Annas 150 Ethics of Queuing for Coronary Artery Bypass Grafting in Canada / Jafna L. Cox 158 Rationing in Practice: The Case of In Vitro Fertilization / Sharon Redmayne and Rudolf Klein 167 Part III: International Perspectives and Emerging Issues Reforming the Health System: The Universal Dilemma / Uwe E. Reinhardt 179 Health in Four Nations / Thomas Bodenheimer and Kevin Grumbach 199 Keeping Quality on the Policy Agenda / Elizabeth A. McGlynn and Robert H. Brook 230 What's Ahead for Health Insurance in the United States? / Victor R. Fuchs 240 Primary - Market Innovation or Threat to Access? / Troyen A. Brennan 246 Correspondence: Response to Luxury Primary Care 255 Limiting Health for the Old / Daniel Callahan 260 Scapegoating the Aged: Intergenerational Equaity and Age-Based Rationing / Robert H. Binstock 267 Index to Authors 285 About the Editors 287
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 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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.085 | 0.018 |
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".