A Heuristic Equation of Transformation, Justice, and Violence in Post‐Assad Syria

Abstract The Syrian conflict, in a fragile transition after Bashar al‐Assad's ouster, raises urgent questions about the conditions for sustainable peace. Rather than viewing postwar Syria solely through the lens of return and reconstruction, this article conceptualizes peace through a heuristic framework in which enabling variables are persistently eroded by structural violence. Drawing on fieldwork conducted in six Syrian provinces, it employs a triangulated qualitative methodology combining participant observation, visual ethnography, and documentary analysis. The findings show that communities enact resilience through grassroots reconstruction, memorialization, and everyday survival, even as authoritarian continuities, fragmented governance, and humanitarian collapse dominate. Symbolic gestures mask carceral practices and inequality. Women and children, central to survival, remain excluded from decision making, reinforcing cycles of vulnerability. The study introduces an original interpretive model—Peace = (X × I) + (T + R) − S—where conflict transformation (X), institutional peace building (I), transitional justice (T), and representation (R) interact but are undermined by structural violence (S). This framework functions not as a mathematical but a conceptual device linking theory with field evidence, situating Syria's transition between negative peace and the unrealized promise of positive peace.

Authors

Institutions

Publication Details

Journal
Middle East Policy
Published
2026-04-06
DOI
https://doi.org/10.1111/mepo.70062
Primary Topic
Peacebuilding and International Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Heuristic Equation of Transformation, Justice, and Violence in Post‐Assad Syria

Zeynep Banu Dalaman
Middle East Policy
Peacebuilding and International Security
article

A Heuristic Equation of Transformation, Justice, and Violence in Post‐Assad Syria

Zeynep Banu Dalaman
article en

Abstract

Abstract The Syrian conflict, in a fragile transition after Bashar al‐Assad's ouster, raises urgent questions about the conditions for sustainable peace. Rather than viewing postwar Syria solely through the lens of return and reconstruction, this article conceptualizes peace through a heuristic framework in which enabling variables are persistently eroded by structural violence. Drawing on fieldwork conducted in six Syrian provinces, it employs a triangulated qualitative methodology combining participant observation, visual ethnography, and documentary analysis. The findings show that communities enact resilience through grassroots reconstruction, memorialization, and everyday survival, even as authoritarian continuities, fragmented governance, and humanitarian collapse dominate. Symbolic gestures mask carceral practices and inequality. Women and children, central to survival, remain excluded from decision making, reinforcing cycles of vulnerability. The study introduces an original interpretive model—Peace = (X × I) + (T + R) − S—where conflict transformation (X), institutional peace building (I), transitional justice (T), and representation (R) interact but are undermined by structural violence (S). This framework functions not as a mathematical but a conceptual device linking theory with field evidence, situating Syria's transition between negative peace and the unrealized promise of positive peace.

Middle East Policy
School of International Relations (IR)
Gender equality
Openalex Percentile: Top 25%
Peacebuilding and International Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.