Making sense of the global economy: 10 resources for health promoters
Bibliographic record
Abstract
Population health is shaped by more than local or national influences-the global matters. Health promotion practitioners and researchers increasingly are challenged to engage with upstream factors related to the global economy, such as global prescriptions for national macroeconomic policies, debt relief and international trade. This paper identifies 10 books (A Brief History of Neoliberalism, Bad Samaritans: The Myth of Free Trade and the Secret History of Capitalism, The World is Not Flat: Inequality and Injustice in Our Global Economy, Globalization and its Discontents, The Debt Threat: How Debt is Destroying the Developing World, Global Woman: Nannies, Maids, and Sex Workers in the New Economy, A Race Against Time, Globalization and Health: An Introduction, Global Public Goods for Health: Health Economics and Public Health Perspectives, Trade and Health: Seeking Common Ground) and several key reports that we found to be particularly useful for understanding the global economy's effects on people's health. We draw attention to issues helpful in understanding the present global financial crisis.
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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 | 0.002 | 0.001 |
| 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 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".