Bibliographic record
Abstract
Abstract This book explores globalization as a ‘determinant’ of social determinants of health within and between nations. Although not a new a phenomenon, globalization has undergone dramatic shifts since the beginning of the neoliberal era post-1980. Neoliberal globalization’s impacts on governments’ foreign policy decisions and domestic policy space is increasingly evident, the more so since the 2008 financial crisis. Much public health literature on global health, however, continues to focus primarily on ‘international health’: the concern for high burdens of disease in generally low-income countries. Although international health work remains important, a globalization approach augments it by posing two questions: Why are some countries poorer and sicker, and others wealthier and healthier? What are the inherently global (trans-border) issues that affect inequities in disease burdens and health opportunities, for individuals as well as for nations? The book takes a political economy approach in answering these questions, covering key globalization concepts and theory, as well as historical background to an understanding of both globalization and global health. It then turns to key pathways by which globalization is affecting health through profound changes in migration, labour markets, trade and investment rules, international development assistance, health systems, infectious and non-communicable disease risks, environmental health, and gendered aspects of globalization’s health dialectic. The book closes with a discussion of global governance for health, the role of human rights, and the importance of a strong civil society articulating and advocating for national and global policies predicated on social justice, health equity, and a sustainable ecology.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".