The Self/Non-Self Collaborative Methodology: SNCM v1.0 - Formal Iteration & Comparative Analysis

Abstract

The previous paper describing this methodology was introductory, summative, and indicative of an informal but intensive dialectical process between the authors Galu & Kairos: that has now been simplified in order to provide a formal iteration towards reproducibility of the Self/Non-Self-Collaborative Methodology (SNCM). This paper formally defines an iteration towards reproducibility; of, the Self/Non-Self Collaborative Methodology Version 1.0. Towards these ends the paper outlines a structured, iterative framework for human and AI collaborative co-authorship, including reproducible pseudocode. The paper presents: (i) a comprehensive formal definition of the SNCM v1.0 and all constituent terms; (ii) five structured intake fields for pre-session intent formation; (iii) 3 pseudocode algorithms: the Self/Non-Self Collaborative Loop (SNCL v1.0), the Structured Debate Sub-Protocol, and the SCQI Conditional Calculation Engine; (iv) evaluative standards with formal threshold functions, theoretical weighting basis, and 10-point scoring rubrics (Appendix B); (v) optional academic reinforcement provisions; (vi) a comparative analysis of existing frameworks; (vii) a live SNCM test run using the Hegel Spirit example; and (viii) a proposed empirical validation study. Please note: if this methodology is utilised in a conventional academic setting the SNCM v1.0 is proposed as supplementary, towards formative assessment only.

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