Article
Sourav Sarkar1*, Sanghamitra Poddar2, Malay Ganguly3
1Ph.D. Research Scholar, Department of Management, University of Engineering & Management, New Town Road, Rajarhat, West Bengal 700157, India
2Dean, Student Affairs and Alumni Relations, Institute of Engineering & Management, Salt Lake, Kolkata-700091, India
3Dean, Academic Affairs, IEM-UEM Group, Salt Lake, Kolkata-700091, India
Abstract
Futures scholarship offers sophisticated methods for anticipating long-term socio-ecological change, yet rarely articulates explicit normative criteria for determining whether a future is humane or minimally adequate for generations not yet born. The capability approach provides a rigorous evaluative framework centred on real freedoms, but remains insufficiently integrated with futures practice. This paper resolves that disconnection by introducing an intergenerational adequacy architecture formalised as a capability–conversion chain (A → φ → θ → T → W), linking adequacy conditions, conversion environments, capability sets, generational thresholds, and welfare trajectories. Applying this architecture to Roman water infrastructure and contemporary water governance, we find that institutional success itself systematically forecloses future adaptability — a failure mode we term conversion-induced futures closure — long before crisis becomes visible. The paper contributes a bounded normative diagnostic tool enabling foresight practitioners and policy designers to evaluate whether alternative futures preserve the minimal conditions of humane intergenerational justice.
Keywords
Intergenerational Justice; Capability Approach; Humane Futures; Adequacy Thresholds; Anticipatory Governance
Introduction
Long-term socio-ecological change is transforming the foundations upon which future generations will attempt to lead meaningful, dignified lives. Climate disruption, biodiversity collapse, digital transitions, demographic ageing and geopolitical volatility interact in ways that create irreversible structural pressures across decades (Rockström et al. 2009; Steffen et al. 2015; IPCC 2023). The futures field has developed rich and increasingly methodological toolkits—scenarios, causal layered analysis, backcasting, horizon scanning and the Six Pillars—for anticipating such long-range shifts (Inayatullah, 2008; Miller, 2018; Voros, 2017). Yet despite this sophistication, the discipline lacks a clear normative grammar for determining when a scenario or pathway counts as humane or adequately just for generations yet to come.
Meanwhile, the capability approach has become one of the most influential frameworks for conceptualising justice, development and well-being (Sen, 1999; Nussbaum, 2000; Robeyns, 2017). It evaluates human advantage in terms of people’s genuine opportunities—capabilities—to do and be what they have reason to value. Recent extensions of the approach explicitly foreground the moral urgency of protecting the capabilities of future people under conditions of environmental limits, climate risk and institutional fragility (Holland, 2014; Meyer, 2017; Lessmann & Rauschmayer, 2013).
Yet capability theory and futures practice remain insufficiently integrated. Capability theorists offer normative principles but seldom translate them into actionable anticipatory methods (Alkire et al. 2014). Conversely, futures practitioners engage deeply with uncertainty, emergence and long-range transformation, but rarely deploy structured evaluative tools for assessing the moral adequacy of divergent trajectories (Burch et al. 2019; Fazey et al. 2018). As a result, scenario-based decision processes frequently lack defensible criteria for judging whether a proposed future is normatively acceptable for the next generation.
This paper resolves their disconnection by proposing a capability–conversion foresight architecture for defining and operationalising intergenerational adequacy. We conceptualise intergenerational adequacy as a dynamic generational capability threshold—minimum substantive freedoms that future cohorts must be able to secure under evolving ecological and institutional conditions (Holland, 2014; Meyer, 2017). Crucially, adequacy is not a fixed welfare level or resource benchmark; it is a generationally indexed threshold that must be periodically reassessed in light of structural shocks, conversion constraints and systemic risks.
To make this operational for foresight work, we formalise intergenerational adequacy through a capability–conversion chain consisting of:
- A (Adequacy Conditions): baseline socio-ecological requirements;
- φ (Conversion Environments): social, technological and ecological factors shaping how resources translate into capabilities;
- θ (Capabilities): the generational capability set;
- T (Thresholds): adequacy floors specifying minimum capabilities;
- W (Welfare Trajectories): long-term capability evolution across generations.
This A → φ → θ → T → W grammar draws from canonical capability methodology (Robeyns, 2017; Alkire et al. 2014) and allows foresight scholarship to treat intergenerational justice as a structurally traceable, analytically transparent question rather than a purely ethical assertion. We then integrate the architecture directly into the Six Pillars (Inayatullah 2008, 2015), showing how foresight practitioners can map adequacy conditions (A), anticipate conversion environments (φ), deepen structural drivers of capability formation (θ), surface generational threshold risks (T), and redesign welfare trajectories (W) through transformative action. Without an explicit architecture capable of distinguishing adaptive capability from stabilised performance, futures-oriented interventions risk repeatedly legitimising trajectories that are robust by design yet unjust by construction.
Importantly—this study does not present empirical results, causal claims or predictive statements. The contribution is a normative-analytic architecture plus a bounded, clearly delimited vignette, used only to illustrate method and not to claim evidentiary generalisation. This avoids the precise inferential weakness flagged in earlier Futures reviews and demonstrates how capability-based evaluation can be disciplined, modest and transparent in anticipatory contexts (Miller, 2018).
This paper names and examines a distinct failure mode—conversion-induced futures closure—in which institutional success itself progressively forecloses future adaptability, long before collapse or crisis becomes visible.
Theoretical Foundations
The architecture developed in this paper draws from three major intellectual lineages that have evolved largely in parallel: (1) capability-based accounts of intergenerational justice, (2) environmental and climate justice scholarship, and (3) anticipatory governance and futures methodologies. This section clarifies how these traditions jointly motivate the capability–conversion foresight architecture, while explicitly articulating the inferential limits of each lineage.
Capability-Based Intergenerational Justice
Capability approaches have long emphasised that justice cannot be assessed solely through outcomes or resource distributions, but must attend to the substantive freedoms individuals and societies retain over time (Sen, 1999; Nussbaum, 2011). Within futures-oriented contexts, this insight carries a specific implication: adequacy at any given moment is normatively insufficient if it is achieved through institutional arrangements that diminish the capacity to adapt across generations. What matters, therefore, is not only whether a system functions acceptably under present conditions, but whether the manner in which it functions preserves the freedom of future actors to revise, reconfigure, or exit inherited trajectories.
This shifts evaluative attention away from static benchmarks of performance toward the processes through which institutional arrangements convert resources, infrastructures, and policies into lived social arrangements. Conversion is not a neutral or purely technical operation. Over time, repeated conversions can harden into patterns of dependence that stabilise particular modes of functioning while progressively narrowing the space of viable alternatives. From an intergenerational perspective, such stabilisation may appear as success, even as it quietly undermines adaptive freedom.
Crucially, the erosion of future capability rarely occurs through abrupt failure. Instead, it unfolds through threshold effects that are institutional rather than catastrophic. Systems cross points at which reversal becomes prohibitively costly, socially illegible, or politically infeasible, even though no immediate crisis is visible. At this stage, futures are not lost through collapse but through consolidation: the range of meaningful options available to future generations contracts despite apparent stability in present conditions.
Environmental Adequacy, Ecological Limits and Climate Justice
The second lineage stems from environmental justice and ecological economics, which emphasise that long-run climate and planetary systems impose constraints upon human flourishing (Rockström et al. 2009; Steffen et al. 2015). Scholars such as Gardiner (2011), Page (2007) and Caney (2014) argue that climate burdens disproportionately harm future generations, creating deep ethical asymmetries. Capability-based environmental justice reinforces this by demonstrating that climate impacts directly erode the substantive freedoms necessary for well-being, especially through disruption of health, security, habitation, livelihoods and political participation (Holland, 2014; Schlosberg & Carruthers, 2010).
From this lineage, the present architecture inherits:
- Adequacy preconditions (A): baseline ecological states without which central capabilities become unattainable;
- Risk propagation logic: the way ecological shocks travel through conversion conditions (φ), altering capability sets (θ) across generational time (IPCC 2023);
- Threshold fragility: many capabilities exhibit non-linear vulnerability to climate disruption (Gardiner, 2011).
Thus, this lineage supplies the structural necessity for linking adequacy, conversion and capability formation, but does not by itself deliver a foresight-compatible architecture.
Anticipatory Governance and Futures Methodologies
The third lineage emerges from futures studies, anticipatory systems and long-term governance. Since the 1990s, futures researchers have developed methods for working with deep uncertainty, alternative trajectories and long-term change (Miller, 2018; Voros, 2017). Inayatullah’s Six Pillars—mapping, anticipating, timing, deepening, creating alternatives and transforming—provide a structured way to interrogate socio-technical futures (Inayatullah 2008, 2015). This tradition emphasises reflexivity, multiplicity and epistemic humility, for clearly bounded inference.
From this lineage, the architecture adopts:
- Process-orientation: scenarios, layered analysis and Six Pillars as procedural scaffolds;
- Non-predictive discipline: foresight as exploration rather than forecasting, (Miller, 2018);
- Structural representation: the need to trace how drivers influence systemic outcomes—precisely what the A → φ → θ → T → W grammar formalises.
However, anticipatory governance literature often lacks normative evaluation mechanisms for determining whether a scenario is ethically acceptable for future cohorts (Fazey et al. 2018; Burch et al. 2019). Futures methodologies tell us how to explore possible worlds, but not how to judge them.
Integrating the Three Lineages into a Capability–Conversion Foresight Architecture
The synthesis of these traditions is driven by three architectural imperatives:
- (a) Normative grounding
Capability theory provides a philosophically coherent, widely accepted normative core for assessing intergenerational justice (Sen, 1999; Nussbaum, 2000; Robeyns, 2017).
(b) Structural realism
Environmental justice and climate science demonstrate that adequacy thresholds and capability formation are embedded in ecological constraints that evolve nonlinearly across time (Rockström et al. 2009; Steffen et al. 2015; IPCC 2023). The architecture encodes relationships, not predictions.
(c) Procedural foresight discipline
Futures methodologies enable the structured exploration of uncertainty and multiple trajectories (Inayatullah, 2008; Miller, 2018). But they lack a normative core.
By bringing these together through the capability–conversion chain—A → φ → θ → T → W—the paper provides a traceable, non-predictive, architecturally disciplined method for assessing intergenerational adequacy. Each element is tied to one lineage:
- A (Adequacy Conditions) → environmental limits
- φ (Conversion Environments) → capability theory’s conversion factors
- θ (Capabilities) → central capability sets
- T (Thresholds) → normative adequacy floors
- W (Trajectories) → futures methodology + generational evolution
This integration ensures that evaluative judgments do not leap beyond what the architecture justifies, that normative claims are grounded (capabilities), that ecological constraints are acknowledged (environmental justice), and that procedural steps are foresight-compatible (Six Pillars).
The integration presented here does not imply predictive power, does not assert causal necessity, and does not claim empirical sufficiency. It establishes only a normative–analytic structure for evaluating whether foresight-generated pathways respect generational adequacy requirements. All empirical illustrations in later sections are bounded, stylised and non-inferential.
A Capability–Conversion Architecture for Intergenerational Futures
This section introduces a capability–conversion architecture designed to evaluate humane futures across extended temporal horizons. The architecture does not function as a predictive model, nor does it prescribe optimal outcomes. Instead, it provides an evaluative grammar for diagnosing how present institutions and practices transform capability conditions over time, and how such transformations can either preserve or foreclose future adaptability. Its purpose is to render visible a class of futures failure that remains largely undetected by outcome-oriented or risk-based approaches (Inayatullah, 2015; Stirling, 2014).
The architecture is organised around five analytically distinct but dynamically interrelated elements: adequacy (A), conversion (φ), thresholds (θ), trajectories (T), and welfare (W). Together, these elements shift futures evaluation away from the question of what will happen toward the question of what remains possible under conditions of apparent success.
Adequacy (A): From Sufficiency to Stabilisation
Adequacy refers to the level at which essential functionings are sufficiently secured to sustain social, economic, or institutional continuity. In futures discourse and policy practice, adequacy is often treated as a stabilising achievement: once minimum requirements are met, systems are presumed resilient or sustainable (Gough, 2017; Raworth, 2017). However, adequacy is not a neutral or terminal state. It is a condition that actively reshapes institutional expectations, behavioural norms, and dependency structures.
Within the proposed architecture, adequacy is treated as a dynamic stabiliser rather than a fixed benchmark. The critical question is not whether adequacy has been achieved, but how its achievement alters the conditions under which future capabilities can be exercised. Adequacy can enable adaptability, but it can also generate institutional confidence that suppresses redundancy, experimentation, and reversibility. When this occurs, adequacy becomes the first step in a process through which futures option space begins to narrow.
Conversion (φ): The Architecture of Capability Transformation
Conversion denotes the processes through which resources, infrastructures, and institutions are translated into real freedoms. Capability theory has long emphasised that resources do not automatically generate capabilities; they must be converted through social, institutional, and environmental mechanisms (Sen, 1999; Robeyns, 2017). Yet in futures contexts, conversion processes are rarely examined as evolving architectures with long-term consequences.
In this framework, conversion is understood as structural rather than instrumental. It refers not merely to efficiency or access, but to the way systems channel adaptation through increasingly specific pathways. Over time, successful conversion can harden into dependency, as institutions optimise for continuity of function rather than flexibility of response (Arthur, 1989; Pierson, 2004). What begins as capability expansion may thus transform into conversion rigidity, binding future action to the maintenance of existing systems.
Thresholds (θ): Latent Limits and Irreversibility
Thresholds mark points at which incremental change produces qualitative transformation. In socio-technical and ecological systems, threshold effects have been widely documented, particularly where resilience gives way to non-linear failure (Folke et al., 2010; Scheffer, 2009). In the context of intergenerational futures, however, thresholds are rarely abrupt or externally imposed.
The architecture distinguishes between visible thresholds, such as resource exhaustion or infrastructural failure, and latent thresholds, where systems continue to perform while losing the capacity to reconfigure. Once latent thresholds are crossed, adaptation becomes disproportionately costly or institutionally infeasible, even in the absence of crisis. Futures closure, in this sense, is not an event but a condition: the loss of viable alternatives before their absence is recognised.
Trajectories (T): Temporal Direction without Prediction
Trajectories refer to the patterned directionality of institutional and capability development over time. Unlike forecasts or scenarios, trajectories do not specify endpoints. They describe how present configurations constrain or enable future movement through path dependence, lock-in, and cumulative commitment (Arthur, 1989; Geels, 2005).
Within the architecture, trajectories capture the cumulative effects of adequacy, conversion, and threshold dynamics. A system may exhibit stable or even improving performance while its trajectory becomes increasingly brittle. Evaluating trajectories thus requires attention not to projected outcomes, but to the progressive elimination of adaptive options.
Welfare (W): Humane Futures beyond Aggregate Outcomes
Welfare, in this framework, is not reduced to aggregate utility or short-term wellbeing. It is understood as the sustained possibility of leading humane lives under changing conditions, consistent with capability-based accounts of justice (Nussbaum, 2011; Sen, 2009). This requires not only the presence of capabilities, but the preservation of the social and institutional conditions through which capabilities can continue to be exercised by future generations.
By situating welfare at the end of the evaluative sequence, the architecture makes explicit that humane futures depend on the integrity of preceding elements. Welfare outcomes achieved through conversion rigidity may appear successful in the present while undermining intergenerational justice. Evaluating welfare without reference to conversion processes and thresholds thus risks endorsing futures that are stable yet fragile.
Interactions and Diagnostic Use
The analytic strength of the capability–conversion architecture lies not in its individual components, but in their interaction. Adequacy shapes conversion; conversion generates thresholds; thresholds define trajectories; trajectories condition welfare. Futures closure occurs when these interactions produce systems that maintain function while eroding adaptability—a pattern identified in this paper as conversion-induced futures closure.
The architecture is intended as a diagnostic lens rather than a classificatory schema. It enables futures practitioners to recognise when success becomes dangerous, and to identify early signals of institutional irreversibility before collapse or crisis occurs. In doing so, it redefines the evaluative task of futures studies from anticipating disruption to safeguarding the conditions of continued possibility (Stirling, 2014; Inayatullah, 2015). The capability–conversion architecture therefore does not compete with existing futures methods; it specifies the conditions under which their outputs should no longer be treated as ethically admissible in intergenerational terms.
Re-Orienting Futures Practice: From Anticipation to Adequacy Diagnosis
The capability–conversion architecture proposed in this paper is not intended to replace established futures methods. Rather, it re-orients how such methods are interpreted and evaluated by shifting attention from anticipatory performance to the conditions under which future adaptability is preserved or eroded. In this sense, the architecture operates as a meta-evaluative lens: it does not generate scenarios, forecasts, or strategies, but alters what futures practitioners recognise as success or failure within them.
Futures studies has long emphasised methodological pluralism, reflected in approaches such as forecasting, scenario analysis, causal layered analysis, and participatory foresight (Dator, 2009; Inayatullah, 2015). These approaches excel at exploring uncertainty, expanding imagination, and challenging dominant assumptions. However, they often remain implicitly outcome-oriented, assessing futures in terms of robustness, preparedness, or alignment with preferred visions. Systems that perform well across multiple scenarios are typically interpreted as resilient, even when such performance depends on increasingly rigid institutional arrangements.
The capability–conversion architecture intervenes at this evaluative juncture. By foregrounding adequacy, conversion, and thresholds, it introduces a diagnostic question that conventional futures tools rarely ask: Does the system’s apparent success preserve the capacity to adapt, or does it stabilise dependency? This question does not contest the value of anticipation or plural scenarios; instead, it reframes their interpretation. A scenario that appears desirable or robust may nonetheless signal conversion-induced futures closure if it relies on institutional configurations that cannot be reconfigured without disproportionate cost.
This re-orientation aligns with, but extends, core futures principles. The Six Pillars framework, for example, encourages practitioners to examine mapping, anticipation, timing, deepening, creating alternatives, and transforming (Inayatullah, 2008). The capability–conversion architecture does not add a seventh pillar. Rather, it sharpens what each pillar reveals. Mapping becomes attentive not only to present systems, but to latent thresholds embedded within them. Anticipation shifts from projecting shocks to identifying forms of adequacy that may eliminate future options. Timing is reframed around points of irreversible commitment rather than moments of crisis. Transformation is evaluated not by novelty alone, but by whether it restores adaptive capacity.
Importantly, the architecture also reframes resilience discourse within futures practice. Resilience is often understood as the ability to absorb disturbance while maintaining function (Folke et al., 2010). From a capability–conversion perspective, however, maintaining function can itself become a source of fragility when it suppresses redundancy, reversibility, or local adaptation. Futures practice that equates resilience with continuity risks endorsing systems that are stable yet brittle. The architecture thus distinguishes between resilience as persistence and resilience as adaptability.
By re-orienting futures methods toward adequacy diagnosis rather than outcome optimisation, the capability–conversion architecture changes how foresight results are read rather than how they are produced. It enables practitioners to recognise early signals of futures closure within scenarios that otherwise appear successful, and to intervene before institutional commitments become irreversible. The diagnostic implications of this re-orientation become visible when examined across long temporal horizons, where institutional success can be shown to convert adaptability into dependence.
Diagnosing Conversion-Induced Futures Closure Across Time
The capability–conversion architecture developed above is intended to reveal forms of futures failure that remain obscured when evaluation focuses on outcomes, risks, or anticipatory performance alone. To demonstrate how this diagnostic shift operates, this section presents two analytically linked vignettes. The first is a historical anchor, illustrating how institutional success can convert adaptive capability into dependence over long temporal horizons. The second is a contemporary mirror, showing how the same conversion logic operates in present systems under conditions of apparent adequacy. The contemporary vignette is not offered as evidence, but as a present-tense illustration of the same structural dynamics.
Rome and the Conversion of Capability into Dependence
The Roman water–urban system offers a historically deep illustration of how institutional success can convert adaptive capability into long-term dependence. Through an extensive network of aqueducts, Roman cities achieved levels of water availability, sanitation, and urban density unparalleled in the ancient world (Hodge, 2002; Frontinus, trans. 1997). Public baths, fountains, and sewerage systems supported civic life and public health, enabling urban flourishing at scale. By contemporaneous standards, the system was an unequivocal success: adequacy was not merely achieved, but normalised.
This achievement, however, reconfigured the conversion architecture through which urban life was sustained. As aqueduct-based supply expanded, cities became increasingly reliant on uninterrupted centralised water flows. Decentralised and adaptive practices—local wells, rainwater harvesting, and seasonal rationing—were progressively displaced, while maintenance came to depend on specialised labour, administrative coordination, and political stability (Hodge, 2002). Capability expansion thus took a highly specific infrastructural form.
Over time, this conversion success generated latent thresholds. The system continued to perform even as its capacity for reconfiguration diminished. Because adequacy was maintained, vulnerability remained largely invisible—an instance of institutional lock-in preceding overt failure (Arthur, 1989; Pierson, 2004). Each expansion of scale increased irreversibility, narrowing the range of viable alternatives before dysfunction appeared.
When political fragmentation, fiscal strain, or infrastructural neglect eventually disrupted maintenance, aqueduct systems did not fail incrementally. Cities crossed thresholds beyond which recovery was difficult or impossible. Importantly, there was no singular catastrophic shock. The decisive change occurred earlier, when institutional success eliminated redundancy and reversibility without triggering immediate crisis.
Viewed through a capability–conversion lens, Roman urban decline appears less as a moral or political failure than as a structural one. The system did not fail because it ceased to deliver water, but because it delivered it in a way that suppressed local adaptation. Adequacy stabilised function while eroding adaptability—an early instance of conversion-induced futures closure, in which futures are lost before collapse occurs (Scheffer, 2009).
Global Water Systems Today: Adequacy Without Adaptation
If Rome reveals how futures close retrospectively, contemporary water systems reveal how futures are being closed prospectively—under conditions of apparent adequacy. This pattern is visible in the rise of permanent emergency infrastructures—such as desalination regimes, deep aquifer dependence, and crisis-normalised water governance—designed to stabilise supply while rendering institutional reversal increasingly costly. Since the early 2010s, permanent stress-management—rather than recovery, regeneration, or reversibility—has become the dominant governance mode shaping large-scale water systems. The water governance across many regions has increasingly relied on large-scale stabilisation strategies, including desalination, deep aquifer extraction, inter-basin transfers, digitally managed distribution, and emergency supply regimes (Linton & Budds, 2014; Bakker, 2010). These systems are designed to absorb climatic variability and political volatility while maintaining continuity of service. On paper, adequacy appears secured.
Yet this adequacy is achieved through conversion architectures that progressively erode adaptive capability. Centralised infrastructures embed high fixed costs, displace local practices, and externalise ecological regeneration to future intervention. Risk is redistributed through pricing, insurance, and emergency governance rather than reduced through diversification or reversibility (Stirling, 2014). Water systems become technically robust but institutionally brittle.
In this context, thresholds are increasingly institutional rather than hydrological. Futures closure does not hinge on absolute scarcity, but on the loss of capacity to decentralise, downscale, or reorganise governance without systemic disruption. Each successful stabilisation deepens dependence on the existing configuration, raising the cost of deviation and narrowing future option space—a dynamic well documented in socio-technical transitions literature (Geels, 2005).
From a conventional futures perspective, such systems often appear resilient: they perform well across scenarios and sustain short-term welfare. From a capability–conversion perspective, however, they reproduce the same structural pattern observed in Rome. What Rome experienced through material decay, contemporary societies risk experiencing through institutional success—systems that work so effectively that they foreclose the futures they were meant to secure.
This vignette is not offered as empirical evidence, but as a present-tense illustration of conversion-induced futures closure. It demonstrates how, under post-2010 conditions of permanent stress management and infrastructural stabilisation, futures can be lost not through failure, but through the cumulative success of systems optimised for continuity rather than adaptability.
Implications: Reframing Futures Failure and Practice
The capability–conversion architecture developed in this paper reframes how futures failure is recognised and evaluated. Rather than locating failure in misprediction or governance breakdown, it identifies a mode of failure that arises under conditions of success: the progressive foreclosure of future adaptability through institutional dependence. This reframing aligns with long-standing critiques of technocratic foresight while offering a distinct evaluative mechanism (Stirling, 2014; Inayatullah, 2015).
Implications for Futures Scholarship
By distinguishing adequacy from adaptability, it reframes familiar concerns—path dependence, lock-in, infrastructural inertia—as primary indicators of intergenerational risk rather than secondary effects (Arthur, 1989; Pierson, 2004). Futures failure, on this view, emerges not when scenarios are wrong, but when evaluative frameworks misclassify success.
The concept of conversion-induced futures closure thus complements existing futures theories by naming a structural failure mode that cuts across methods and domains. It does not replace anticipatory approaches, but alters how their outputs are interpreted.
Implications for Futures Practice
For futures practitioners, the architecture introduces a second-order diagnostic question that can be applied within existing foresight exercises: Does this intervention preserve or reduce future reconfigurability? This question aligns with emerging concerns around reflexive governance and anticipatory ethics, while remaining method-neutral (Quay, 2010; Stirling, 2014).
Practically, this implies that strategies aimed at securing adequacy must also be assessed for their effects on redundancy, reversibility, and institutional learning. Futures practice informed by this lens can intervene earlier—before commitments harden into irreversible trajectories.
Implications for Intergenerational Justice
For intergenerational justice, the architecture shifts attention from distributive outcomes to structural conditions. It highlights how future harm can arise not from deprivation, but from institutional success that constrains future choice—an insight that complements rights-based and sustainability-oriented accounts (Gosseries & Meyer, 2009; Sen, 2009).
Intergenerational responsibility, on this view, includes not only securing minimum standards, but preserving the openness of futures themselves.
Conclusion: When Futures Close Without Collapse
This paper has argued that some of the most consequential failures of futures thinking do not arise from misprediction, inadequate anticipation, or governance breakdown. They arise instead under conditions of apparent success. Systems can function well, stabilise welfare, and perform robustly across scenarios while progressively eliminating the capacity to adapt. When this occurs, futures close without warning—not through crisis, but through the cumulative effects of institutional adequacy itself.
By developing a capability–conversion architecture centred on adequacy, conversion, thresholds, trajectories, and welfare, the paper has identified a distinct failure mode: conversion-induced futures closure. This mode of failure is not captured by outcome-oriented evaluation, resilience metrics, or scenario performance alone. It becomes visible only when evaluation shifts from asking what futures will occur to asking what futures remain possible under prevailing institutional arrangements.
The Roman water–urban system demonstrated how infrastructural success can convert adaptive capability into dependence over centuries, foreclosing futures long before collapse becomes visible. The contemporary water governance vignette showed how similar dynamics operate under post-2010 conditions of permanent stress management and stabilisation. Taken together, these vignettes illustrate that futures are often lost not because societies fail to anticipate disruption, but because they succeed too narrowly at sustaining continuity (Arthur, 1989; Stirling, 2014).
The contribution of this paper is therefore not a new method of foresight, nor a normative prescription for preferred futures. It is a reclassification of futures failure itself. Futures failure, on this account, is not primarily an epistemic problem of uncertainty or a moral problem of neglect. It is a structural problem of conversion: the way present institutions translate adequacy into long-term dependence, eroding the freedom of future generations to respond to change (Sen, 2009; Nussbaum, 2011).
For futures scholarship, this reclassification clarifies why well-designed anticipatory exercises can still legitimise trajectories that are brittle over time. For futures practice, it introduces a diagnostic obligation: to evaluate not only whether interventions perform across scenarios, but whether they preserve reversibility, redundancy, and institutional learning. For intergenerational justice, it shifts attention from distributive sufficiency to the openness of futures themselves.
Without attention to conversion-induced futures closure, futures ethics and foresight remain systematically incomplete, capable of anticipating disruption while continuing to legitimise trajectories that silently erode the freedom of future generations to adapt.
The architecture developed here does not evaluate which futures should be chosen. It clarifies which futures are being silently removed from possibility. In doing so, it re-orients futures studies from the anticipation of disruption toward the safeguarding of adaptability. Humane futures are not secured by predicting collapse, but by recognising—early enough—when success itself becomes the mechanism through which futures are lost.
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