Rethinking and advancing the movement of resistance, activism, and advocacy in health in four central arenas of the Middle East Region
Bibliographic record
Abstract
Abstract The Middle East region has a long history of resistance, activism, and advocacy movements in health, most recently as part of the 2011 region‐wide Arab Spring. Despite this storied history, however, movements of resistance, activism, and advocacy in health in the region are rarely unpacked, examined, or documented. This historical and contextual analysis aims to examine the long‐standing confiscated health rights and subsequent experiences of resistance, activism, and advocacy in health in populations in Palestine, Lebanon, Egypt, and Iraq. Promoting a health equity and health rights‐based approach is key to achieving Universal Health Coverage and health‐related Sustainable Development Goals, particularly in contexts that experience fragile socioeconomic and humanitarian conditions and political instability such as many countries in the Middle East. Marginalized populations, including Palestinians living under Israeli occupation, Lebanese Lesbian, Gay, Bisexual, and Transgender+ (LGBT) communities, Egyptian women and girls affected by Female Genital Mutilation, and Iraqi refugees and Internally Displaced Persons, have been severely impacted by decades of oppression, conflict, and displacement. These populations have faced various forms of discrimination, neglect, and violence that have hindered their access to quality healthcare and basic health rights. Rather than relying on government efforts, local and international movements to advocate for and protect the health rights of these populations are key. Innovative approaches, strategic dialogue and collective actions are prerequisites for promoting resistance, activism, and advocacy in health in all country's systems structure. This analysis highlights the important of this social public health issue in the most turbulent region and provides evidence to guide all countries to realize equitable human rights for health for all populations.
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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 | 0.018 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.021 | 0.030 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".