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Record W2968736903 · doi:10.15171/hpp.2019.23

The need for health diplomacy in health security operations

2019· article· en· W2968736903 on OpenAlexaff
Vijay Kumar Chattu, Sebastian Kevany

Bibliographic record

VenueHealth Promotion Perspectives · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDiplomacyGlobal healthPolitical scienceInternational securityHealth policyPublic relationsHealth careEconomic growthPoliticsBusinessPublic administrationLawEconomics

Abstract

fetched live from OpenAlex

The concept of health security involves the intersection of several fields and disciplines and is an inherently political and sensitive area. It is also a relatively a new field of study and practice which lacks a precise definition - though numerous disciplines and areas like foreign policy, national interests, trade interests, health security, disaster relief, and human rights contribute to the concept. The purpose of this paper is to highlight the need for, health diplomacy in improving health security. For example, it is not unusual for developing country societies to build their health security measures by restricting travel and movement of those emanating from affected areas. When extreme health security measures threaten cordial and cooperative relations between nations, the issue of protection of one country's population may lead to the risk of international conflict. As the World Health Organization (WHO) stated in 2007 that'functioning health systems are the bedrock of health security,' it is crucial that partners with sound financial and technical capacities benefit developing countries through their assistance and sharing information. This paper explores how health diplomacy holds great promise to address the needs of global health security through binding or nonbinding instruments, enforced by global governance mechanisms.

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 imitation

Not 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.

metaresearch head score (Codex)0.051
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0100.035
Scholarly communication0.0180.014
Open science0.0010.016
Research integrity0.0080.014
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.074
GPT teacher head0.499
Teacher spread0.425 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2019
Admission routes1
Has abstractyes

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