Expectation-Participated Emergence: A Mechanistic Explanation of the Fifty-Year Predicament of Soft Systems Methodology and the Completion of Emergence Classification

Author Information Author: Baichen Yi Corresponding Author: Baichen Yi E-mail: ybcbenxin@163.com Affiliation: Independent Researcher, Xi'an, Shaanxi 710000, China ORCID: 0009-0008-6242-7743 Version: V1.0 Funding: None Conflict of Interest Statement: The author declares no conflict of interest relevant to this work. Preprint Statement This article is a preprint that has not undergone peer review and does not represent a final published academic conclusion. All mechanistic and classificatory hypotheses proposed herein are independently testable. Researchers in all fields are welcome to conduct verification according to the falsification conditions stated in the text. Copyright License This preprint is released under the CC BY-NC-ND 4.0 International License, permitting sharing and redistribution worldwide provided that proper attribution is given, the use is non-commercial, and the original text is not modified or adapted. Special Authorization: The author specifically grants permission to any individual or institution to translate this article, in whole or in part, into other languages, provided that the core logic of the original text remains unchanged and the original source and author information are acknowledged. The full license text is available at: https://creativecommons.org/licenses/by-nc-nd/4.0/ Positioning within the MFY Series This article is the systems-science extension and the cross-domain independent convergence validation of the MFY theory series [1][7]-[11][16][27]-[30]. The core causal structure (the definitions of the M, F, and Y variables and their transmission order) follows the established conclusions of the MFY framework [1] and the seventh paper of the series [7]. This article proposes "expectation participation" as a new dimension for the classification of emergence, dividing the emergence of complex systems into two classes: direct-causal emergence without expectation participation and expectation-mediated emergence with expectation participation, thereby remedying a dimensional gap in the existing classification systems of systems science. The relationship between this article and Soft Systems Methodology (SSM) is one of cross-domain independent convergence: SSM's fifty years of field observations and MFY's mechanistic derivation are entirely independent in intellectual lineage, disciplinary origin, and methodological path, and their systematic correspondence constitutes further evidence for the laws governing expectation-participated emergence. The conclusions of this article that are independent of the MFY foundational framework are as follows: the existing emergence classification systems of systems science lack a critical dimension, and both the out-of-domain failure of hard systems methodologies and the stagnation of soft systems frameworks stem from classification conflation. The conclusion that requires the MFY closed-loop structure is as follows: the expectation layer (Y) is the only legitimate intervention target with sustainable calibration efficacy in all systems with expectation participation. Abstract Existing emergence classification systems (weak/strong emergence, epistemological/ontological emergence, synchronic/diachronic emergence) have not taken "whether the system internally encodes future states in the form of expectations" as a core classificatory axis, with the result that two classes of emergent systems with fundamentally different operating logics have long been conflated. Based on the MFY expectation-emergence framework, this article proposes "expectation participation" as a new dimension for the classification of emergence. Emergence without expectation participation follows the causal path in which "the past directly determines the present," covering physical, chemical, and engineering systems; emergence with expectation participation follows the mediated path in which "the past calibrates expectations, and expectations drive the present," covering complex adaptive systems such as human individuals, organizations, markets, and societies. The causal structures of the two classes are incommensurable, and their conflation is the common root of both the out-of-domain failure of hard systems methods and the long-standing freezing of soft systems frameworks. Taking Checkland's fifty years of field observations in Soft Systems Methodology as an independent validation anchor, this article finds a precise systematic correspondence between the five categories of core organizational phenomena recorded by SSM and the mechanistic derivations of MFY expectation-participated emergence, with each mechanism finding cross-validation anchors in independent domains such as sensory modalities, motor skills, and market behavior. The two are entirely independent in disciplinary origin, time of construction, and methodological path, constituting cross-disciplinary independent convergence evidence. Addressing six categories of long-unresolved problems in the SSM and change-management literature, this article provides mechanistic answers, explains at the level of causal mechanism why mainstream change-management playbooks collectively fail, and derives four mechanism-driven principles for organizational intervention. The core hypothesis is explicitly falsifiable: if it can be verified that for any system possessing expectation encoding, its macroscopic state can be directly determined by historical inputs without mediated calibration through the expectation layer (Y), the present classification hypothesis is overturned.