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Operationalizing Global Health and Peace for Health Security and Solidarity: Does this Apply in Palestine, Ukraine, and Venezuela?

2024· preprint· en· W4394012237 on OpenAlexaff
Mohammed Alkhaldi, Zeana Hamdonah, Lyne El Khatib

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsOperationalizationSolidarityPalestinePolitical scienceHealth securityDevelopment economicsAncient historyEconomicsPublic healthPoliticsLawMedicineNursingHistory

Abstract

fetched live from OpenAlex

The interrelationality of health and peace is complex, multifactorial, and imbued with political and economic challenges. Peace and health outcomes reflect shared fundamental values related to the achievement of a balanced holistic condition on the individual and collective level. This causal relationship between social inequity and health requires special attention be paid to the impact of political instability and structural violence on undermining health systems in conflict zones. The mutual dependency between peace and health means that peace cannot be achieved without the existence of physical, mental, social, and spiritual health, and holistic health cannot be sustained under violent conditions. The interrelationality of peace and health as mutual conditions shape our understanding of global solidarity in relation to health diplomacy and peace promotion, if addressed equally across all conflict zones This prospective analytical review discusses the complex interplay between peace and health in three global contexts utilizing contextual analysis of the unique interdisciplinary factors at play that contribute to, or hinder the advancement of global health and peace in Palestine, Venezuela, and Ukraine. Peace is a multifaceted phenomenon that necessitates the participation, dedication, and action of all sectors and stakeholders in the global society, including health professionals. Both the “right to health” and the “right to peace” can be realized through two approaches: (1) holding governments accountable for maintaining peace and protecting health systems, and (2) the implementation of policies and actions that promote nonviolence education, intergroup communication, and social justice. Highlights: Countries around the globe are facing multiple, (re)emerging and complex crises and conflicts, aggravated by increasing social, political, and economic pressures that mainly impact people’s health and health systems. The existing global governance structures of peacebuilding for health are powerless, ineffective, and still unclear, thus setting health actors up for failure, when it comes to sustaining long-lasting changes and addressing the root causes of crisis. Crises including political pressures, historic suffering due to coloniality, protracted conflicts, lack of advocacy and firm international laws enforcement, hypocritical standards of intervention, absence of health equity, and an absence of ethical and human rights frameworks, all impede the creation of peaceful societies that promote health and vice versa. Palestine, Ukraine, and Venezuela reflect diverse contexts where clear disparities are present in global solidarity, humanitarian intervention, global interest, advocacy, and willingness to promote the health-peace nexus are reported. Continued impunity, partiality, and injustice undermine health-peace promotion and scale up global health disruptions, and the shared challenges of suboptimal health status should be sufficiently handled based on equal rights, equity, accountability, and transparency regardless of variations in geography, ethnicity, region, political context.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.008
Scholarly communication0.0070.008
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.060
GPT teacher head0.484
Teacher spread0.424 · 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 designTheoretical or conceptual
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

Citations1
Published2024
Admission routes1
Has abstractyes

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