The conceptual background starts from the premise that, given the complexity of processes of social change, which are by their nature nonlinear and emergent, any project of radical economic and social reform must be evaluated using, in the first stance, rigorous criteria of philosophic and scientific inquiry. The complexity of social change is often paradoxical, as the deep structures of society and the economy co-evolve with institutions. Small events and phenomena, which seem marginal and unimportant for long stretches of time, may turn out to be fast-growing and become dominant in much shorter periods [
13,
14]. This is true not only in cases of pandemic disease outbreaks, but also in more complex phenomena of social and political change, such as the Industrial Revolution in England in the 17th and 18th centuries, or the spread of new communication technologies and digitalization, i.e., the internet and artificial intelligence from the late 20th century to the present day. Given the non-linear, emergent and paradoxical nature of change in economic and technological structures, it is necessary to understand the nature of change, whether spontaneous or induced by social policy or other forms of social engineering [
15]. The study of past technological and institutional evolution can teach important lessons and give important insights into future change, even if the latter can never be predicted with any degree of qualitative and quantitative accuracy, but only prefigured ex-ante, understood and described ex-post [
16].
The thesis of this article is that the utopian imagination of future change is strictly related to the understanding of past evolution rather than to the mere extrapolation of desirable changes dictated by imminent dangers and abstract criteria of sustainability. Disruptive events may provide some scope for the introduction of new policy provisions and initiatives to support change, but they must be framed within a longer time span of structural social change, and not abstracted from it. Precisely because social change must first be imagined in an utopian fashion, and then understood and analyzed in its own evolutionary terms, this paper seeks to take advantage of social theories that harness a greater capacity to help change flow in desired directions without imposing predetermined solutions that may be perceived as alien and hostile to the nature of social relations in a specific historical context [
17,
18]. The imposition of overly restrictive rules against environmental degradation in agriculture and the fight against pollution and CO2 emissions in urban areas may lead to serious cases of rejection of such measures, such as the phenomenon of the gilets jaunes in France in 2018 or the invasion of tractors in most European cities, including Paris and Brussels, in 2024. Moreover, the sudden economic downturn due to COVID-19 and the resulting exponential increase in unemployment in 2020 cannot be assumed to represent the starting point for profound structural changes in the labor market, as most Great Reset advocates intended. The normalization of health conditions that began in mid-2021 led to a collateral normalization of economic conditions (excluding for now only a significant resurgence of inflationary pressures and interest rates). From 2021 onwards, especially in the United States, a sustained improvement in economic growth and a reduction in unemployment to historic lows were observed, contrary to the predictions of the Great Reset scholars.
In its endeavor to address the study of structural social change, rather than simply the consequences of unpredictable events, this paper draws conceptual tools that can help focus on past evolution to envision future change. Paradoxical thinking and critical realism are established to detect social anomalies and their underlying structural conditions observed in specific historical circumstances. Anomalies and inconsistencies can allow the detection of the reasonable direction of change. On the other hand, social theory, as it declines in complex systems theory, can analyze the nonlinear emergence of novel structures based on the path-dependent and non-reversible (non-ergodic) evolution of pre-existing conditions that may not yet have exerted their full force.
2.1. Paradoxes in the Social Sciences and Critical Realism
This contribution challenges the idea that utopias cannot be realistic by resorting to a speculative methodology that has to do with the ontology of social reality. To achieve this goal, it exploits paradoxical thinking.
By framing recurring tensions as a paradox – a ‘persistent contradiction between interdependent elements’ Schad, Lewis, and Smith [19, p. 10] – scholars endeavor to explore opposing elements’ relationships. The paradoxical elements form a duality in that they are ‘oppositional to one another yet […] also synergistic’ Smith and Lewis [20, 386]; they thus simultaneously support and oppose one another [
21]. In Schad and Bansal [22, p. 1492]
To the extent that “utopia” and “realism” are considered an oxymoron, paradoxical thinking refers to the “persistent contradiction between interdependent elements,” which affect social reality but may be, at the same time, anomalous and contradictory [23, 19, p. 10]. When distinct concepts come together and are imagined as a unity, they constitute a paradoxical duality that embodies “a both/and relationship that is neither mutually exclusive nor antagonistic” [
24]. Thus, opposing elements within the same unitary system can generate paradoxical interactions leading to system-level outcomes that can conceal, but not eliminate, radical contradictions within the system itself.
More importantly, hidden contradictions can develop and grow over time, giving rise to nonlinear dynamics and systemic changes that were not foreseen or even foreseeable to begin with [
25]. Of course, change can come from within the system itself, but it can also be the result of more dialectical structural reforms coming from outside (e.g., government interventions or institutional design). The interaction between internal change and external intervention is, as always, complex and, by its very nature, difficult to predict. For example, the creation of large amounts of new employment, especially in the US, as occurred in the post-pandemic period after 2021, is perfectly compatible with widening income and wealth inequality at the macroeconomic level. This is clearly a paradoxical and contradictory economic outcome [
26,
27], which can exacerbate economic inequality, exacerbate economic cycles and widen the social divide even during periods of sustained economic growth [
28].
To the extent that utopian thinking is most often aimed at predicting structural changes deemed desirable in future stages of social evolution, for example, to alleviate social problems, paradoxical thinking can be understood as a type of heuristic cue that allows anomalous and contradictory elements in a system to be identified and possible solutions to be devised. Examples are numerous. The tendency of social systems to overexploit certain natural resources to increase economic growth and wealth can lead to the carrying capacity of the system being overstretched and eventually exceeded, causing partial or total destruction of these resources and thus limiting economic growth [
29,
30]. This paradoxical outcome requires the introduction of new governance structures that can limit resource exploitation to environmentally sustainable levels and create new patterns of economic development, for example, through the replacement of a linear economy with increasingly effective elements of a circular economy [
31]. More generally, contradictions in the social system can create endogenous generative processes of emergent social change to amend existing problems. They can often support social innovation or the introduction of new social structures and organizational forms (e.g., multistakeholder governance) or new technologies (e.g., artificial intelligence), which were previously considered beyond the reach of human society [
32,
33].
Realism enters this picture as a doctrine that does not exclude the critique of existing social realities on the basis of paradoxes and contrasting evidence but rather starts from the observation of reality and strives to use the very same elements of reality and its deep patterns of structural development as evidence of the realism and realizability of any theory and reform proposal, even of a utopian type. Theory and reform proposals, especially when they envision better scenarios and future societal outcomes, must be contrasted with facts and evidence on emerging social change. In According to Roy Bhaskar’s [
34,
35] ontology, realism in the social sciences refers to the existence of stratified social relations that define the structures of society and the behavior of individuals within them. Empirical experience is only the emergent epiphenomenon of the workings of deeper real events and causal mechanisms that generate phenomena. Critical realism provides a framework for understanding how paradoxes, contradictions and anomalies can be analyzed to uncover the deep structures of reality. Generating mechanisms produce effects that affect objects and entities. Social change can be generated through a critique of social reality, taken in its layered and paradoxical expression. Anomalous events can challenge prevailing theories and scientific paradigms, revealing the need for social intervention and reform, while contradictions can drive change and development when opposing forces come into conflict. Emergent paradoxes often highlight the complexities and contradictions inherent in social structures and individual behaviors, compel a search for the underlying mechanisms, and point to the need for social change [
34,
35].
Although causal mechanisms can be studied by the social sciences as fundamental elements of social interaction, their complexity and the difficulty of observing and isolating them can make their study ineffective and controversial, since these mechanisms are not always activated in society. They may remain latent for long periods of time, hiding their effects, which, however, may still be real and momentous. Even when activated or activated but counteracted by other mechanisms, effects may not be perceived by individuals or even by scientists [
36]. Difficulties in perceiving and observing complex mechanisms and effects can lead to scientific misrepresentations, inability to study important causal connections, and erroneous predictions [
37]. The lack of temporary understanding and observation of some postulated mechanisms does not preclude their impact and crucial role in social evolution, just as an active volcano may lie dormant for several centuries before erupting but still remain active and influence human society (e.g., urbanization patterns).
It is recognized that human agency is crucially (causally) dependent on social structures, which emerge over time and require specific preconditions for their existence. Individual agency is considered a fundamental part of social evolution, through which individuals and social groups can consciously reflect on social change and bring it about through collective action. In Bhaskar’s approach, social change involves social structures in processes of flux and change [
34,
35,
38]. Critical realism pursues a strategy of analytical dualism in which a separation is created between the individual and the structure to allow the study of the interaction between the two, analyzing both individual freedom within social structures and the constraints imposed by these structures on individual behavior [
39]. Such a social ontology based on the interaction between the individual and the structure adopts a constructivist perspective of social change, while mainstream social thought is criticized concerning the limitations of deductivism and formalism. [
34,
40].
The ontology of critical realism is compatible with an understanding of utopias in social thought that starts from socially paradoxical facts. Paradoxes highlight relationships between social elements-structures and people that exhibit anomalous elements and can be contradictory, leading to unexpected, inconsistent and even negative or conflicting outcomes. These relationships, although difficult to discern and not manifest, are real in that they represent forces that influence real structures and processes. The study of utopia, therefore, can be seen as part of a program of critical realism in which social paradoxes and contradictions represent clues or even heuristics, in some cases, for uncovering evidence about the causal mechanisms underlying social reality and imagining change [
41]. Similarly, at least partially similar to the Great Reset project, the claim that conflictual or power-based social relations, rather than merit or productivity, will improve or, at any rate, change through progressive social action and reform, can be seen as a case of utopian realism that must be tested against the very underlying social forces and causal mechanisms upon which it is built [
42].
2.2. Complexity Theory and Social Systems Theory
Complexity theory and social systems theory represent theoretical approaches in the social sciences that make it possible to develop new scientific paradigms of social evolution. They challenge the idea of the existence of simple social relations, the reductionist idea that each social process is simply the sum of the actions of its components (as for example when the demand for goods and services in the market is calculated as simply the sum of individual demands). To this reductionist view complexity theory opposes a holistic view in which the whole is more than the sum of its parts [
37]. The study of complex systems can help to unravel important puzzles and resolve issues that more traditional approaches have not been able to address, let alone resolve. In the specific case of the analysis of realistic utopias such as The Great Reset, the study of complex systems can increase the analytical depth and understanding of the dynamics of social evolution, renouncing attempts to establish restrictive assumptions, as orthodox economics does. For example, it can distinguish between achievable or unachievable goals of social sustainability. It can also improve the ability of applied science to understand the outcomes of social processes, providing more realistic descriptions and forecasts and ruling out unrealistic reform processes [
43,
44,
45].
2.2.1. Complexity Theory
Complexity theory deals with the behavior of complex systems whose components interact in multiple ways and follow local rules, resulting in nonlinearity, collective dynamics, hierarchy, adaptation, and emergence. The parts of the system interact with each other in a nonlinear way, leading to the emergence of more complex structures and phenomena at the level of the system itself and in its interaction with other systems [
44]. Emergent properties and behaviors cannot be understood by simply analyzing the system components, since they derive from higher level and emergent system properties (e.g., the social rather than the individual level). On the other hand, the basic structure of the system may be sufficiently determined by the activity of its basic components (e.g., individual consumption and spending behavior in the market, studied by microeconomics, rather than collective action or social behavior, studied by macroeconomics, industrial organization and economic sociology).
Since social systems exhibit non-linear development trajectories, small changes can lead to disproportionate effects or even phase shifts. This implies that small political or cultural changes can have significant and sometimes unexpected repercussions on social evolution, leading to the emergence of new social processes and structures in the medium to long term. Moreover, the self-organizing capacity of systems, in which patterns emerge from the interactions of agents without centralized control, may imply that social problems can be addressed collaboratively through social interaction and collective action, rather than through command-and-control, hierarchical or bureaucratic procedures. Complex systems are adaptive and resilient, able to respond to change and disruption. By maintaining a balance between the action of different parts of the system, contradictions and challenges can be effectively addressed by rebalancing processes and generating new structures [
46]. In these processes of social evolution, feedback loops of cumulative causation create systemic dynamics in which individual behavior and structures in the lower strata of the system influence each other, leading to the emergence of new structures in the upper strata (one need only think of the creation of the Federal Reserve System in 1913 in the United States, which emerged from the interaction of government agencies and state banks). The outcomes can only be partially and imperfectly predicted in advance, while emerging structures and patterns often have radically new characteristics and dimensions. In some cases, the outcomes of collaborative social processes may represent solutions to problems raised in the past by the development of utopian thinking [
44].
2.2.2. Social Systems Theory
Social systems theory (SST), on the other hand, focuses on the interrelationship and interconnectedness of various components within a society, which are identified as its subsystems, for example the economic, political, cultural, educational etc… [
44,
45]. Subsystems arise from internal differentiation and external separation from the environment in which the social system develops. SST is strictly associated with complexity theory, in the sense that complex systems are nonergodic social processes in which emergence is driven by complex feedback effects, path dependence, nonlinearity, interconnectedness, and resonance. SST, which has its roots in the general systems theory of von [
47] in the 1930s, focuses on understanding processes of emergence, which involve structures that are not obtained by blueprint planning. To this end, SST analyzes the emergence of different coordination mechanisms that can accelerate and guide self-organizing dynamics [
48]. When applied to social utopias, SST highlights systemic effects rather than focusing on individual parts of the system. Utopia points to social goals and conditions that have not yet been achieved but may be achievable when the right social conditions are created or otherwise obtained over time [
49,
50,
51]. SSTs can also play a discriminating role in identifying good utopias and avoiding bad ones, as the study of complex systems can help to understand why certain patterns of development are desirable in the first place and can be achieved through social evolution, while others are unlikely to occur and may be undesirable [
52,
53].
Social systems theory is a description of reality that can take on either the realist connotations of von Bertalanffy [
47], or the self-referential and constructivist stance of Luhmann [
46]. In von Bertalanffy social systems are open in their homeostatic equilibrium with the external environment, due to continuous interaction and exchange, which also defines the evolutionary pattern of their internal structure. In Luhmann [
46], instead, the system is an autopoietic closed process. Autopoiesis refers to the self-referential and self-producing nature of social systems, which grow organically by reducing complexity in relation to the external environment, while producing their own internal structure and complexity through autopoietic communication flows that are recursive. Closure is a necessary characteristic of the system, since without internal recursive flows, which allow the system to reproduce itself over time, it could not differentiate itself from the external environment and would cease to exist [
54,
55,
56,
57]. The self-referential nature of system development implies that the functions of the system can come into conflict with the external social and natural environment, as when the economic system exceeds the carrying capacity of the natural environment and causes excessive depletion of natural resources, dangerous pollution, destruction of virgin forests and extinction of animal species [
46,
58].
In order to fulfil social functions, the system produces its own internal complexity through autopoiesis or “self-production” of internal structures, as when a democratic political state creates the judicial system to control the legislative action of parliaments, the political action of governments and the administrative action of its own bureaucracy. Over time, the functions performed by the system may come into conflict with its own structure. Internal conflict can initiate stages of reform of system structures or the creation of new structures [
59]. The resolution of conflict between functions and structure leads to societal change that can be progressive or regressive, depending on the social forces, cultures and goals at play. Dysfunctional structures can be overcome through top-down directives or open-ended processes of social innovation that can be spontaneous, as in the Austrian economics approach [
60,
61,
62], or consist of reforms of a more constructivist and designed kind, as in social systems theory [
46]. Just think of the transition from absolutist monarchy to democratic political regimes in Europe in the 19th and 20th centuries.
Complex, self-organized systems exhibit spontaneous order and adaptation without central control, requiring decentralized decision-making, organic growth and the ability of communities to adapt and evolve in response to changing circumstances [
63]. Boundaries between subsystems differentiate one system from others. Even so, they are “porous,” allowing for interpenetration, cross-fertilization, coupling, and interlocking dynamics, which produce feedback effects through shocks that propagate and amplify local effects across different subsystems and strata [
46,
57]. Communication and exchange occur transversally, although the integrity of each subsystem must also be maintained. This implies that communication between subsystems may not be steady and seamless. It can be “irritative,” as each subsystem is forced to preserve its own mode of communication, which must be adapted to the mode of communication of other systems (e.g., communications between the political and judicial systems) [
46,
59,
64].
In this theoretical milieu, social utopias may point to multiple pathways and diverse approaches to achieve desirable social ends informed by social progress, as systemic evolution may favor (but also hinder) the fulfillment of functions that are aligned with utopian goals, and the emergence of new structures that support such evolutionary processes. In particular, self-organization and adaptability of new structures, e.g., new organizational forms or new governance structures, are explored to achieve relevant societal goals [
65]. The interaction between individual behavior, collective action, organization and social structures is complex and unpredictable but creates ever-renewing evolutionary processes within existing systems. Complexity and the interdependence of various subsystems within a society require a holistic understanding of social phenomena. In contrast, methodological individualism and reductionism are likely to be incompatible with a constructivist approach to social progress, since they analyze human behavior and motivations narrowly and impose too strict assumptions on human interactions, thus ending up analyzing only elementary and standardized problems (e.g., supply and demand and market equilibrium) [
66,
67].
Social systems theory offers a normative view of the intricate dynamics of intersecting subsystems in the direction suggested by social utopias since even small changes in system dynamics can affect the overall stability, adaptability, and functionality of the overall system. Through nonlinear evolutionary pathways, a utopian society is likely to develop on its own terms, introducing norms, evolving values, and using communication channels and social props (e.g., organizations) to build its own structures and culture, achieving self-maintenance, adaptability, and differentiation from other social systems [
68,
69]. By emphasizing the complexity, interconnectedness, and emergent properties of social systems, both complexity theory and social systems theory provide frameworks for understanding the dynamics, organization, and sustainability of once-utopian social reforms [
49,
50,
51].
2.2.3. An Example: John Rawls’s Realist Utopia
As a partial and very tentative application of the theories just discussed, John Rawls’ [
6,
7,
8,
9] theory of justice as fairness in political philosophy can be considered one of the most notable examples of “realist progressive utopianism”. Discussion of such an eminent case can then contribute to a more informed discussion of the Great Reset as one of the most recent cases of realist utopianism.
John Rawls, one of the most prominent political philosophers of the 20th century, introduced several key concepts in his works, especially in his seminal book “A Theory of Justice” [
6]. The difference principle is one of the two principles of justice proposed by the author and follows lexicographically the first principle of “equality of opportunity”, which refers to the equal freedom of every citizen to enjoy the broadest basic freedoms compatible with similar freedoms for others. The difference principle states that social and economic inequalities should be organized in such a way as to benefit the least advantaged members of society the most. By allowing for inequalities in the distribution of wealth and income, but only if these inequalities benefit the least advantaged, the difference principle seeks to ensure that the structure of society does not unfairly favor the best-off and provides opportunities for all individuals to improve their social and economic standing.
The maximin criterion is a decision rule used in the original position, a hypothetical situation designed to ensure fairness and impartiality, as individuals choose the principles of justice behind a “veil of ignorance”. In the original position, citizens are unaware of their own place in society (their class, heritage, social status, intelligence, strength, etc.). In game theory, the maximin strategy pretends that the worst strategic combination of payoffs is the best possible outcome and consists of choosing the option that maximizes the minimum profit. This strategy embodies the difference principle because it ensures that inequalities in society are minimized and improves the situation of the most disadvantaged. As an example of the application of the difference principle and the maximin criterion, one can consider the fact that skilled and more productive workers tend to earn higher wages than other workers. This distributive pattern may increase income inequality in society, but it is not incompatible with the application of Rawls’ difference principle, since skilled workers also increase the total productivity of the factors of production and thus the total value added produced by all workers in society, including the less productive ones. Thus, skilled workers improve the economic condition of less skilled workers by allowing them to earn higher wages or otherwise increase their income, according to the maximin criterion, despite their lower productivity.
In the book “The Law of Peoples”, the principles of justice as fairness were defined by Rawls himself as a “realistic utopia”, a concept that envisages an ideal society realizable in practice in which the difference principle is applied both in domestic politics of income and wealth distribution, and in international relations between different peoples adopting tolerance as a fundamental principle of equity and reciprocity. According to Rawls, the utopia of a just social order (national and international) is realistic because it is based on the conditions of human nature in the original position under the veil of ignorance, even if it aspires to embody abstract principles of justice. Although utopian ideals should guide human aspirations, they must be tempered by what is realistically possible given human nature and social conditions. In Rawls’ realistic utopia a just society is understood to be both idealistic and attainable. It provides the overall vision of a feasible but ideal society, respectful of fundamental rights and freedoms, in which justice is practiced as fairness [
10,
11,
12,
70,
71].
In Rawls’ system of democratic equality, which replaces the liberal equality of rights, for example as in the political philosophy of Nozick (1970), the democratic criterion of citizens’ choice under the veil of ignorance would lead society to distribute its economic surplus following the maximin rule and not the maximization of the sum total of citizens’ utilities as in the utilitarian tradition of Jeremy Bentham (1780) and John Harsanyi (1976). The distribution of economic value added would be more equitable than what is usually observed in capitalist market economies.
From the point of view of the theories presented above, critical realism and the theory of complex systems, it can be affirmed that Rawls’ theory of justice, embodied in the difference principle and the maximin criterion, can be understood as a normative criterion that, in principle, can be realistic for democratic equality when it is chosen by free and equal citizens in the original position under the veil of ignorance [
72,
73].
Rawls’ abstract principles of justice can be defended on the basis of democratic freedoms, which can effectively sustain a tendency to improve the conditions of the disadvantaged. Although citizens do not choose under the veil of ignorance and may be influenced by vested interests and cultural ideologies, the normative criteria expounded by Rawls can substantially influence political choices and economic policy. In this sense, Rawls’ principles of justice represent a realistic attempt to apply utopian principles of equitable distribution to real societies. The utopian character of Rawls’ theory can be recognized not in the political will, but in the form of its application, since capitalist economies are characterized by strong concentration of wealth, economic power and inequality. The institutional configuration of social structures and of the economy can predetermine outcomes in a manner contrary to Rawls’ criteria of justice. The main difficulty lies in the distributive patterns that characterize real economies, especially in capitalist corporations, and through market exchanges. Redistribution of resources through the tax system may partially help to reduce distributive injustice, but it is unlikely to solve it as the difference principle would require. This lack of applicability and realizability may reduce the realism of Rawls’ theory, relegating it to the realm of unrealizable utopias. Despite these limitations, Rawls’ criteria are still considered useful today as “pole stars” or normative criteria that can guide social and fiscal policy [
70,
71].