Author
Min Jinseong
Recent research
- Society & EconomicsOpen access
As artificial intelligence models are increasingly integrated into judicial decision-making and statutory enforcement, legal design trends prioritize formal mathematical consistency and internal coherence. This paper challenges the foundational assumption that logical perfection...
- Health & MedicineOpen access
Classical exercise physiology often interprets physical fatigue as an absolute peripheral failure caused by metabolic byproductaccumulation. The Central Governor Model (CGM) revised this paradigm by proposing that the central nervous system (CNS)regulates performance to prevent c...
- Society & EconomicsOpen access
Conventional democratic theory posits an empirical feedback loop where an informed citizenry evaluates policy outcomes and holds elected officials accountable. However, modern electoral politics suffers from systemic epistemic failure driven by mass cognitive hubris—a societal-sc...
- Health & MedicineOpen access
Contemporary public health and social welfare systems operate under a foundational contradiction: while publicly committed to restoring autonomy, they structurally manufacture chronic institutional dependency. This paper articulates the framework of Administrative Custody, demons...
- Society & EconomicsOpen access
When analytical readers encounter narrative art depicting human frailty, moral dithering, or unearned tragedy, they frequently dismiss the work as superficial, manipulative, or mere "time-killing entertainment." While literary criticism traditionally attributes such dismissals to...
- Society & EconomicsOpen access
This paper identifies and formalizes the Acceleration Paradox: a structural economic phenomenon in which defensive market interventions by organized labor—specifically mandatory wage inflation, rigid employment guarantees, and operational vetoes—inadvertently lower the financial...
- Society & EconomicsOpen access
This paper establishes a unified interdisciplinary model linking low-load mechanical resistance training, somatic executive control, evolutionary signal honesty, and intersexual selection dynamics. We challenge the conventional exercise science focus on high-axial fatigue loads b...
- Society & EconomicsOpen access
Contemporary discourse surrounding Artificial Intelligence (AI) displacement predominantly focuses on quantitative metrics of labor substitution and macroeconomic displacement. This paper proposes a paradigm shift by examining the neurobiological and socio-evolutionary frictions...
- Society & EconomicsOpen access
MolaMola Lab White Studio Collected Works 3rd
I harbor fundamental questions about myself and the world that surrounds me. If someone were to ask me to speak of 'myself,' how should I answer? Stripped of relationships, roles, gender, and accumulated memories—how can I explain who I am in this exact, fleeting moment? Do I exi...
- AI & ComputingOpen access
As artificial intelligence drastically reduces code synthesis costs, technological moats based solely on software development are eroding. In high-risk enterprise sectors—such as Electronic Design Automation (EDA), aerospace simulation, and multi-physics modeling—incumbent softwa...
- Society & EconomicsOpen access
This paper conceptualizes the "Sartorial Armor Paradigm," examining the socio-cultural mechanisms bywhich formal tailoring resists brand contamination while commercial luxury labels frequently succumbto subcultural degradation. By analyzing organized crime’s historical reliance o...
- Society & EconomicsOpen access
Despite the rapid enterprise adoption and technological democratization of generative artificialintelligence (AI), organizations encounter severe operational bottlenecks characterized by poor promptquality and low employee engagement. Standard managerial discourse attributes this...
- Health & MedicineOpen access
High-functioning Complex Post-Traumatic Stress Disorder (CPTSD) presents a unique neuro-psychiatric paradox:individuals demonstrate exceptional external performance, high intellectual bandwidth, and cross-domain analyticalcapacities alongside chronic hyper-arousal and affective n...
- Society & EconomicsOpen access
Conventional social psychological frameworks posit that humans rely on institutional credentials, titles, and formal identifiers(administrative signifiers) as essential cognitive heuristics to reduce social evaluation latency. This paper challenges thatparadigm by proposing the H...
- AI & ComputingOpen access
Modern digital ecosystems are increasingly governed by engagement-maximizing recommendation algorithms thatreward emotional provocation, high-frequency repetition, and dopamine-driven retention mechanics. Consequently,commercial marketing has experienced a structural decoupling:...
- Society & EconomicsOpen access
Contemporary demographic policy attributes the unprecedented fertility collapse in highly developed nationsprimarily to economic factors such as housing costs, youth employment anxiety, and childcare expense. Thispaper demonstrates that these traditional sociological frameworks s...
- Society & EconomicsOpen access
This paper critically examines a growing paradox within modern meritocratic legal and political systems: the co-optation of the language of marginalization by structural elites who possess near-absolute infrastructural safety. While classical sociology focused on the distribution...
- Society & EconomicsOpen access
Traditional intellectual property (IP) institutions—specifically national patent offices and peer-reviewedacademic journals—were designed around the capital cycles and technological velocities of the IndustrialEra. Today, at the technological frontier (e.g., generative artificial...
- AI & ComputingOpen access
This paper presents a novel structural model of modern attention capitalism, challenging thetraditional binary framework that views algorithmic media platforms and cognitive restorationservices as opposing forces. Instead, we propose the Regenerative Feedback Loop Hypothesis,whic...
- Society & EconomicsOpen access
In classical statistics and early machine learning paradigms, an outlier is conventionally treated as noisy,erratic data to be trimmed or isolated to preserve the integrity of Gaussian models. However, incontemporary hyper-scale predictive architectures, this framework is obsolet...