Humility as a Control Variable in Strict Societies: A Mathematical Theory of Success Index Including Generative AI Effects

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Authors: Takashi UEDA
Cited by: 0

Abstract

In strict and competitive societies, success is not determined solely by ability or effort, but by their relationship to social expectations. This paper introduces a unified mathe- matical framework for the success index Q, emphasizing the role of self-expectation control (humility). We show that humility acts as a structural lowering mechanism of success thresh- olds. The theory is extended to generative AI usage, including free and paid models, where miscalibrated self-expectation can negate technological advantages.

Fields of Study & Subjects

Grit Self-Efficacy and Motivation Social Power and Status Dynamics Human Behavior and Motivation

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 February 2026
Language
EN
Document type
Preprint