An Undisciplined Economist
Bibliographic record
Abstract
For four decades Robert Evans has been Canada’s foremost health policy analyst and commentator, playing a leadership role in the development of both health economics and population health at home and internationally. An Undisciplined Economist collects Evans’ most important contributions and includes two new articles. The topics addressed range widely, from the peculiar structure of the health care industry to the social determinants of the health of entire populations to the misleading role that economists have sometimes played in health policy debates. Written with Evans' characteristic clarity, candour, and wit, these essays unabashedly expose health policy myths and the special interests that lie behind them. He refutes claims that public health insurance is unsustainable, that the health care costs of an aging population will bankrupt Canada, that user charges will make the health care system more efficient, and that health care is the most important determinant of a population’s health. An Undisciplined Economist is a valuable collection for those familiar with Evans’ work, a lucid introduction for those new to the fields of health economics, health policy, and population health, and a fitting tribute to an outstanding scholar.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.019 | 0.010 |
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".