Bridging ICD-11 Dimensional Personality Assessment and Psychodynamic Functioning: The Psychic Arbitrage Profile Protocol (PAPP)
Abstract
The ICD-11 dimensional model of personality disorders evaluates severity and trait domains but does not capture the economic dynamics of psychic functioning: how affective value circulates between registers, through what operations, at what costs, and with what residual resources. This article introduces the Psychic Arbitrage Profile Protocol (PAPP), a dual-component clinical assessment instrument (clinician-rated, 28 items; self-report, 30 items) that operationalises five dimensions derived from a transactional framework of psychic functioning: market accessibility (ACC), psychic liquidity (LIQ), transactional repertoire (REP), cumulative transaction cost (COST), and residual arbitrage capacity (RES). The article presents the systematic mapping between ICD-11 severity grades and PAPP dimensional configurations, demonstrates how each ICD-11 trait domain translates into a specific PAPP configuration, and argues that PAPP adds differential clinical utility by distinguishing between patients with identical ICD-11 profiles but different functional-economic configurations. A retrospective mapping onto the abandoned DSM multiaxial system illustrates what dimensional information was lost in the DSM-5 transition. An illustrative clinical case demonstrates the scoring procedure, profile interpretation, and therapeutic decision-making. The psychometric validation plan is outlined. Early working version (v1.0, February 2026) of the PAPP–ICD-11 bridging line, organized around trait domains. This orientation has been superseded; current development proceeds through the PAPP-D dimensional battery and its validation study protocol (https://doi.org/10.5281/zenodo.18957907).
Fields of Study & Subjects
Personality Disorders and Psychopathology
Personality Traits and Psychology
Mental Health Research Topics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN
- Document type
- Preprint