The Five Dimensions (5D) Metatheory: An Uncommitted Analytical Framework Introduction
Raei, Mohammed
Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
This paper introduces a non-normative, non-hierarchical metatheory organized around five irreducible and interacting dimensions: ontology, epistemology, axiology, praxis, and telos. Existing metatheories often conflate these dimensions, embed hidden normative commitments, or lack reflexive capacity. In contrast, the proposed framework provides an open analytical architecture capable of examining theories, metatheories, paradigms, institutions, and ideologies without imposing predetermined assumptions. The metatheory emerged through a hybrid human–AI co-reasoning process involving cyclical and dialectical refinement, adversarial testing, and multimodel triangulation, which revealed structural blind spots and supported iterative conceptual development. Applications demonstrate the model’s diagnostic and generative power across diverse domains, including the collapse of communism, the persistence of capitalism, failures of organizational change, and assessment of transdisciplinary work.. The metatheory also applies reflexively to itself, addressing a longstanding limitation in integrative frameworks. By offering a rigorous dimensional grammar and a scalable reflexive scaffold, this metatheory enhances conceptual clarity, supports cross-paradigmatic translation, and provides a foundation for designing coherent theories and transformative practices suited to contemporary complexity.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026