Global health diplomacy, health and human security: The ascendancy of enlightened self-interest
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
The political, social, economic, and security implications of health-related issues such as emerging infectious diseases or the epidemic of Non Communicable Diseases offer a rare opportunity for professionals in foreign policy and international relations to engage with the health arena and at the same time for global health experts to enter into and intersect with the domain of diplomacy. The aim of this review is to understand and explore the concepts of global health diplomacy (GHD), health security, and human security. For this narrative review, a literature search was done in PubMed, Scopus, and EBSCO for the "global health diplomacy," "health security," and "human security," and full-texts were reviewed. The recent outbreaks of Ebola in West Africa and Zika in South America are pertinent examples of the nature of the human security crisis and the imminent and severe threat posed to human life across the globe as a result of these epidemics. The Commission on Human Security defines human security as the protection of the vital core of all human lives from critical and pervasive threats. We highlight the ways in which health has now become an issue of national security/global concern and also how GHD can aid in the development of new bilateral or multilateral agreements to safeguard the health and security of people in our globalized world. The paper provides a prospective about, and overview of, health and human security that essentially emphasizes the growing interlinkages between global health, diplomacy, and foreign policy.
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 | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.014 | 0.018 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".