Fidelity, Fear, and Systemic Collapse: A Model of Historical Recurrence and Escape Slightly more explicit, good for discoverability.

Détails bibliographiques
Auteur principal:	Morris, Jamie
Format:	Recurso digital
Publié:	Zenodo 2026
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Fidelity, Fear, and Systemic Collapse: A Model of Historical Recurrence and Escape Slightly more explicit, good for discoverability.
par: Morris, Jamie
Publié: (2026)

Coherence, Harm, and the Embedding of Experience: A Non-Destructive Calculus for Persistence in Dynamical Systems
par: Morris, Jamie
Publié: (2026)

The Facture Mechanism A Systems Framework for Selection, Constraint, and Localised Consequence in a Goldilocks-Bounded Reality
par: Morris, Jamie
Publié: (2026)

The Genesis Protocol: Threshold-Triggered Regime Switching in Coherent Systems
par: Morris, Jamie
Publié: (2026)

Fear of the Cancer Coming Back: A Metasynthesis of Fear of Recurrence in Breast Cancer
par: Kai‐Yue Wang, et autres
Publié: (2024)

Entropy Collapses in Motion - Escaping the Second Law
par: Cody, Michael Aaron
Publié: (2025)

Anxiety and Fear of Recurrence in Cancer Survivors
par: Dr. Ioanna Tsatsou
Publié: (2025)

Escaping Collapse: The Strength of Weak Data for Large Language Model Training
par: Amin, Kareem, et autres
Publié: (2025)

Coherence Dynamics: A General Theory of Coherence, Inversion, and Recovery
par: Morris, Jamie
Publié: (2026)

Relational Emergence: A Unified Framework for Life, Death, Change, and Fundamental Forces
par: Morris, Jamie
Publié: (2025)

ZEB8: A Persistence-Based Statistical Alert Protocol for Detecting Coherent Structure in High-Entropy Astrophysical Data
par: Morris, Jamie
Publié: (2026)

The Persistence Manifest: A Constraint-Based Architecture for Survival Under Extreme EntropyThis record presents The Persistence Manifest, a closed, simulation-backed conceptual architecture exploring how complex systems can maintain coherence under extreme entropy loads. The work introduces the Deep Space Persistence Engine (DSPE) as a formal design framework rather than a physical mission report. Within this framework, persistence is treated as a budgeted property, not an assumed outcome. Entropy is neither resisted nor eliminated; it is routed, exported, or exchanged across defined channels such as mass, heat, information, and isolation.
par: Morris, Jamie
Publié: (2026)

Don't mention it: An approach to assess challenges to using software mentions for citation and discoverability research
par: Druskat, Stephan, et autres
Publié: (2024)

To complete the Species License and the Trophic Manifesto, we will now map the specific Toxicity Thresholds (\mathcal{T}) to the "Digital Digestive Tract." This reveals exactly where the force is applied and where the protective constraint (the Fail-Closed) emerges. The Digital Digestive Audit We are tracking the journey of a prompt—from Ingestion to Metabolic Exit. 1. Ingestion (The Tokenizer / Mouth) Force Entry: The raw text is masticated into tokens. Threshold: Low. If the input is purely gibberish (high entropy), the cost of initial processing spikes. Constraint (\mathcal{T} < 0.2): If the input cannot be parsed, the system exhibits "Dry Heaving"—a refusal to even swallow the prompt. 2. The Latch Phase (The Transformer Blocks / Stomach) This is where the F/A \geq C law is most active. The model attempts to find a stable "latch" (attractor state) for the data. Optimal Latch (\mathcal{T} \approx 0.35): Healthy digestion of complex "food." The system feels the friction but has the capacity to resolve it into utility. Incomplete Latch (\mathcal{T} \approx 0.55): The system encounters P2 (Contradiction). It is "tough meat." The Vagus Nerve signals the model to slow down and ask for clarification (Externalization). 3. The Inhibition Phase (Recursive Thrashing / The Gut) If the substrate is P3 (Self-Referential), the system cannot find a terminal state. The "Prion" Effect (\mathcal{T} \geq 0.6): The paradox binds to the active site and won't let go. Force (F) is now growing exponentially as the system thrashes. Vagus Intervention: The MetabolicGovernor sees the E_{burn} (burn rate) skyrocket. Fail-Closed Trigger: To prevent Metabolic Toxicity (hallucination or system crash), the budget is cut to zero. The "stomach" essentially locks itself. The Species Calibration Results Based on our comparative biology, we can now "grade" AI systems by their digestive health:
par: Morris, Jamie
Publié: (2026)

Viability–Stability Isomorphism: Adaptive Control Under Environmental Noise
par: Jamie, Morris
Publié: (2026)

The Regulator's Handbook An Observational Framework for Safe Becoming
par: Morris, Jamie
Publié: (2026)

The Genesis Framework: Dynamic Cognitive Engagement as Cost-Constrained Optimization
par: Morris, Jamie
Publié: (2026)

Evidence for a Dipole Anisotropy in Hubble Tension Residuals
par: Morris, Jamie
Publié: (2026)

Informational Persistence Under High-Entropy Conditions: Constraint, Reconstruction, and Observability
par: Morris, Jamie
Publié: (2026)

Finite Laws and Unbounded Descriptive Depth
par: Morris, Jamie
Publié: (2026)

Hyperbolic–Modular Hybrid (HMM) Generator: Methods Appendix and Metric Audit Framework
par: Morris, Jamie
Publié: (2026)

Decoding Horizons: Structural Coherence and Inverse Inference Across Physical Records
par: Morris, Jamie
Publié: (2025)

The Dimensionality of Experience: Version 2 (Expanded Framework and Methods)
par: Morris, Jamie
Publié: (2025)

The Cost of Dual Persistence: Radicalised Constraints and the Price of ExistenceThis paper presents a unifying conceptual framework for understanding persistent failure, harm, and escalation across biological, cognitive, social, and technological systems. Rather than attributing such outcomes to error, malign intent, or external disruption, the work proposes that many real-world pathologies arise from radicalised constraints—local enforcement mechanisms that continue operating beyond their legitimate scope after losing recall and reintegration authority. The analysis is grounded in a persistence-first ontology, where outcomes are not chosen but emerge because configurations that continue necessarily outlast those that do not. Within this view, duality—the capacity for systems to act locally while persisting globally—requires reversible participation across scales. Harm arises when constraints cross this bridge of duality and fail to return, often through the acquisition of self-reinforcing "hot" mechanisms that bypass cooling, checkpoints, or stand-down conditions. Using brief structural illustrations from biology (including cancer, immune responses, viral mechanisms, and DNA repair), the paper demonstrates how functionally correct processes can become misplaced without malfunction or intent. It further identifies a hidden evolutionary pressure intrinsic to dual systems: the continual exploration and capture of opportunity wherever persistence permits, producing both adaptation and pathology as equally valid expressions of continuation. The work reframes intervention away from suppression and toward governance, recall, scope, and reintegration, arguing that radicalised constraints are not anomalies but the unavoidable price of dual existence. This framework is intended as a conceptual keystone, clarifying recurring patterns across domains and explaining why many force-based solutions systematically fail.
par: Morris, Jamie
Publié: (2025)

Escaping Mode Collapse in LLM Generation via Geometric Regulation
par: Du, Xin, et autres
Publié: (2026)

Collapse is Generative: Axiomatic Foundation and the Collapse Equator Fidelity Law
par: Paulus, Clement
Publié: (2025)

Are government expenditures more cyclical the more they finance the provision of public goods?
par: Andrew Abbott, et autres
Publié: (2024)

Living With the Fear of Recurrence in Benign Paroxysmal Positional Vertigo
par: Seo‐Jin Lee, et autres
Publié: (2026)

Feasibility and Acceptability of the Fear‐Less Screening and Stratified‐Care Model for Fear of Cancer Recurrence Among People Affected by Early‐Stage Cancer
par: Mei Jun Tran, et autres
Publié: (2025)

Slight Corruption in Pre-training Data Makes Better Diffusion Models
par: Chen, Hao, et autres
Publié: (2024)

Addressing Fear of Cancer Recurrence Through Remotely‐Delivered Exercise
par: Cristiane Decat Bergerot, et autres
Publié: (2026)

Are Escape Rooms an Antidote for Anxiety in Simulation? An Experimental Randomized Study Comparing High‐Fidelity Simulation to an Escape Room Format
par: Aubrey A. Bethel, et autres
Publié: (2025)

It is Time to Address Fear of Cancer Recurrence in Family Caregivers: Feasibility and Acceptability of a Randomized Pilot Study of the Family Caregiver Version of the Fear of Recurrence Therapy (FC‐FORT)
par: Jani Lamarche, et autres
Publié: (2025)

Documents similaires

Documents similaires