Machine Epistemic Singularity (MES) By Jalal Khawaldeh -SUPPLEMENTARY MATERIALS ARCHIVE

This supplementary materials document accompanies the main study "Machine Epistemic Singularity (MES): A Structural Diagnosis of Scientific Integrity (SDSI) Framework." It provides comprehensive documentation supporting the theoretical, methodological, and empirical dimensions of the SDSI framework across seven integrated parts. Part A contains complete interaction transcripts from three philosophical stress‑tests conducted with generative AI systems (ScholarGPT, DeepSeek‑R1, and Microsoft Copilot) in February 2026, including all prompts, system responses, and analytical observations of five structural tendencies: unattributed recombination, performance without understanding, authoritative posture without accountability, synthetic drift, and recursive reinforcement. Part B presents extended methodological notes detailing system selection criteria, prompt development and validation, parameter standardisation, and coding methodology, including inter‑rater reliability calculations and replication protocols. Part C offers extended theoretical development, including comprehensive literature reviews for the fifteen axes of epistemic vulnerability, formalisation of propagation mechanisms (amplification, accumulation, structural coupling), and conceptual refinement of threshold dynamics (empirical dilution, validation saturation, recursive dependence). Part D provides 24 illustrative scenarios spanning nine professional domains (engineering, medicine, law, education, journalism, marketing, arts, sports, technology), constructed through rigorous multi‑source triangulation and analysed thematically in relation to the SDSI axes. Part E comprises a complete bibliography and annotated references across philosophy of science, metascience, AI technical literature, science and technology studies, journalism, and policy documents. Part F presents a consolidated glossary of all key constructs developed within the SDSI framework, with definitions, primary chapter references, and relations to other constructs. Part G provides a conceptual heuristic diagram illustrating the structural dynamics of the epistemic singularity, integrating the fifteen axes, structural tendencies, and threshold conditions within a visual framework designed to orient inquiry and generate empirical questions. All materials are provided to ensure full transparency, enable critical engagement, and facilitate replication and extension by future researchers. The archive reflects the diagnostic, non‑prescriptive orientation of the main study, offering conceptual resources for epistemic vigilance rather than predictions or prescriptions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-16
DOI
https://doi.org/10.5281/zenodo.19045967
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine Epistemic Singularity (MES) By Jalal Khawaldeh -SUPPLEMENTARY MATERIALS ARCHIVE

Jalal Khawaldeh
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Machine Epistemic Singularity (MES) By Jalal Khawaldeh -SUPPLEMENTARY MATERIALS ARCHIVE

Jalal Khawaldeh
article en

Abstract

This supplementary materials document accompanies the main study "Machine Epistemic Singularity (MES): A Structural Diagnosis of Scientific Integrity (SDSI) Framework." It provides comprehensive documentation supporting the theoretical, methodological, and empirical dimensions of the SDSI framework across seven integrated parts. Part A contains complete interaction transcripts from three philosophical stress‑tests conducted with generative AI systems (ScholarGPT, DeepSeek‑R1, and Microsoft Copilot) in February 2026, including all prompts, system responses, and analytical observations of five structural tendencies: unattributed recombination, performance without understanding, authoritative posture without accountability, synthetic drift, and recursive reinforcement. Part B presents extended methodological notes detailing system selection criteria, prompt development and validation, parameter standardisation, and coding methodology, including inter‑rater reliability calculations and replication protocols. Part C offers extended theoretical development, including comprehensive literature reviews for the fifteen axes of epistemic vulnerability, formalisation of propagation mechanisms (amplification, accumulation, structural coupling), and conceptual refinement of threshold dynamics (empirical dilution, validation saturation, recursive dependence). Part D provides 24 illustrative scenarios spanning nine professional domains (engineering, medicine, law, education, journalism, marketing, arts, sports, technology), constructed through rigorous multi‑source triangulation and analysed thematically in relation to the SDSI axes. Part E comprises a complete bibliography and annotated references across philosophy of science, metascience, AI technical literature, science and technology studies, journalism, and policy documents. Part F presents a consolidated glossary of all key constructs developed within the SDSI framework, with definitions, primary chapter references, and relations to other constructs. Part G provides a conceptual heuristic diagram illustrating the structural dynamics of the epistemic singularity, integrating the fifteen axes, structural tendencies, and threshold conditions within a visual framework designed to orient inquiry and generate empirical questions. All materials are provided to ensure full transparency, enable critical engagement, and facilitate replication and extension by future researchers. The archive reflects the diagnostic, non‑prescriptive orientation of the main study, offering conceptual resources for epistemic vigilance rather than predictions or prescriptions.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 22%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.