A Tag-Based Model of Responsibility, Guilt, Trust, Trauma, Recovery, and Growth A Unified Operational Framework for Moral and Psychological Repair

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Authors: Toru Kawahara
Cited by: 0

Abstract

This paper presents a unified operational framework for understanding responsibility, guilt, trust, resentment, trauma, recovery, and growth through the concept of evaluative tags and their reference policies. Rather than treating these phenomena as irreducible moral or psychological primitives, the model interprets them as records attached to agents, actions, and selves, combined with strategies governing how those records are referenced over time. Within this framework, responsibility is redefined as an internally generated evaluative demand rather than an externally imposed obligation. Guilt is modeled as an externally applied negative tag, even when subjectively experienced as internal, while trust emerges as the cumulative accumulation of positive evaluative records. Forgiveness and atonement are shown not to erase past records but to alter their future reference and weighting. The paper further distinguishes resentment as fixation on a specific negative tag, trauma as non-volitional self-referential tag activation, recovery as functional restoration through same-domain tag neutralization, and growth as a non-obligatory reconstruction of evaluative functions via new tag integration. By separating immutable evaluative records from mutable reference strategies, this model resolves persistent confusions surrounding moral obligation, forgiveness, punishment, and personal change. The framework does not deny subjective suffering or moral experience; instead, it offers an operational reinterpretation of their functional roles, enabling clearer reasoning across moral philosophy, psychology, and cognitive science.

Fields of Study & Subjects

Philosophical Ethics and Theory Forgiveness and Related Behaviors Emotions and Moral Behavior

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Thesis