چکیده مقاله
This article operationalizes Islamic rapprochement as a governed, measurable program It fuses Causal Layered Analysis litany, systems, discourse, myth with a KPI driven performance architecture UCTA PA comprising 280 indicators: 140 Crisis Warning Indicators CWIs and 140 Strategic Progress Indicators SPIs A mixed methods design integrates AI assisted corpus and network analytics, purposive–stratified expert input, institutional document analysis, and pre registered quasi experimental estimators staggered difference in differences, synthetic control, interrupted time series Programmatic validation shows target concordant movements: reductions in Hate Speech Rate and Polarization Velocity; increases in the Theological Respect Index and Joint Institution Density; improvements in legal Interoperability Score; and severity weighted declines in Inter sect Incident Rate Mechanism checks indicate discourse improvements precede incident reductions under high implementation fidelity Theoretically, the study extends CLA by specifying a governance grade indicator grammar that projects deep discursive and mythic drivers onto observable signals Practically, it delivers a thermostat for decision makers traffic light thresholds tied to corrective playbooks, explicit ownership, and cadences enabling auditable progress toward rapprochement within a 12–24 month horizon Actionable recommendations include publishing an indicator dictionary with non compensatory floors for CWIs, aligning financing and recognition to verified SPI gains, and embedding narrative telemetry in data governance pipelines with bias auditing and privacy by design
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شیوه ارجاع
MoghadasNian, SeyyedAbdolHojjat and JafarTayari Dehaqani, Mostafa and Mohammad Hoseini Taheri, Javad and Haghighi, Nafiseh and Karami Esfeh, ShamsolHoda and Karami, Fatemeh,1404,Pathology of Divergence & Engineering Unity: A CLA-to-KPI Governance Architecture,12th National Conference on Interdisciplinary Research in Engineering and Management,Tehran
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