Temporalizing contention: An agenda for long-term social movement analysis

The eventful bias in movement studies

The rise and consolidation of protest event analysis (also known as protest catalogs) institutionalized a focus on observable, punctuated happenings that were of use to both journalists and coders (Koopmans and Rucht, 2002). This methodological achievement (including standardization of coding rules and cross-national comparability) has nonetheless anchored the field’s gaze to those moments that pass-through media filters, with well-known biases toward urban, disruptive, or violent episodes and against mundane, routine, or insider work (Earl et al., 2004; Oliver and Myers, 1999). When singular events are the primary evidentiary substrate, the temporal structure of research follows suit: analysts build chronologies from spikes in counts, and “periods” of mobilization are defined by noticeable surges rather than by the slow work that makes surges possible. The result is an epistemic loop in which what is visible as an event becomes what counts as movement activity, and what counts as movement activity becomes what is theorized.

At the level of concepts, a similar dynamic unfolds. The language of cycles and waves captures real temporal clustering and feedback (Tarrow, 1993), yet it subtly privileges a rhythmic model of historical time in which episodes are the unit of analysis and most of the action is located at the peaks (Pierson, 2004). Mechanisms central to the relational turn (brokerage, diffusion, and attribution of similarity) are often operationalized through event sequences, which makes sense pragmatically but can weaken sensitivity to slow-moving processes such as institutional learning, organizational maintenance, and the layering of repertoires (McAdam et al., 2001; Tilly and Wood, 2015). The consequence is not merely an empirical omission but a theoretical one: continuity becomes a residual category between peaks rather than an object of explanation (Taylor, 1989; Whittier, 1995).

This temporal compression has several intellectual risks. First, it narrows our understanding of movement outcomes. If we treat policy or political change as the paradigmatic endpoint of mobilization and restrict observation windows to the aftermath of peaks, we will understate delayed, indirect, or cultural effects that unfold through protracted interaction with institutions and publics (Amenta et al., 2010; Giugni, 1998). Struggles that recalibrate administrative routines, professional norms, or collective identities often do so gradually, through insulation and entrenchment rather than punctuated reform. And it needs stressing that these processes are poorly captured by episodic lenses (Mahoney, 2000; Mahoney and Thelen, 2010). Second, the eventful bias blurs our view of transformation. Movements rarely “decline” in a simple sense; while some of them recompose, relocate, and reconfigure their infrastructures, others decompose, dissipate, or exhaust their mobilizing capacities. The field has a rich if scattered literature on latency, abeyance, and disengagement (Fillieule, 2010; Melucci, 1989), but these insights have not been sufficiently integrated into mainstream models of cycles and waves. Without that integration, we over-diagnose rise-and-fall and under-theorize the patterned pathways by which movements transform.

Also, event-centric research can occlude the internal temporalities that organize activist work. Routine practices of recruitment, leadership apprenticeship, and interpretive maintenance unfold in organizational times, which seldom aligns neatly with the tempo of public protest. As ethnographic and historical works have shown, groups invest in infrastructures (meeting spaces, training repertoires, archives of frames and narratives) that make mobilization possible and that survive individual campaigns (Blee, 2012; Tilly and Wood, 2015). These infrastructures circulate across cohorts and adjacent fields (sometimes via spillover of personnel and frames), shaping tactical possibilities long after a cycle subsides (Meyer and Whittier, 1994; Strang and Soule, 1998). When we privilege event time, we tend to treat these infrastructures as context rather than causal mechanisms with their own temporal dynamics.

A way forward is suggested by methodological and theoretical work on temporality beyond narrow event analysis. Historical sociology has developed robust tools for considering sequence, duration, and path dependence, including attention on self-reinforcing processes and to the layering, conversion, and drift through which institutions gradually change (Abbott, 2001; Mahoney and Thelen, 2010). Eventful sociology, in turn, has insisted that “events” are transformative not because they are punctuated moments per se but because they re-articulate structures and trajectories in ways that ramify through time (Sewell, 1996). Taken together, these perspectives invite social movement scholars to treat protest episodes as intersections of multiple temporalities (organizational, cultural, institutional, and biographical) rather than as time itself. The implication is not to abandon events but to embed them in longer processes and to adapt methods accordingly (e.g. by combining event series with archival reconstruction of organizational fields, or by linking protest chronologies to life-course data).

Critiques of event bias do not deny the empirical reality of clustering, diffusion, or critical junctures. Rather, they question the inference that the temporal unit of a spike is the natural unit of analysis for movement change. Policy studies have long warned that “focusing events” attract attention without guaranteeing lasting agenda change (Birkland, 1997), and movement research similarly shows that peak moments can dissipate quickly without infrastructural anchoring. Conversely, much transformative work happens between peaks, when organizations stabilize routines, consolidate alliances, and translate disruptive claims into durable arrangements (Amenta et al., 2010; Tilly and Wood, 2015). This is especially evident in cases where movements become institutional interlocutors or knowledge producers, altering the repertoires through which states and professions recognize claims; such changes typically unfold through iterative interactions that only intermittently appear as “events.”

The preference for cycles and waves is also epistemological, stemming from the types of sources that the field has favored (newspapers and public records) and the comparative advantages of counting versus reconstruction. Newspaper-based designs have provided systematic and replicable knowledge, but they are unable to capture invisible work and long arcs; scholars have carefully documented these biases and proposed corrections (Earl et al., 2004; Koopmans and Rucht, 2002; Oliver and Myers, 1999). Building on this literature, a long-term perspective involves more mixed-method designs, new uses of organizational archives, and closer integration of process tracking with sequence analysis (Abbott, 2001). Equally important, it suggests a rethinking of what counts as an “observation” of movement activity, so that maintenance and translation enter our causal narratives.

From cycles to silences: What happens after the peak?

If cycles, waves, and episodes have provided the primary temporal metaphors in social movement studies, they have also circumscribed how scholars imagine change. Early syntheses made time visible through claims about diffusion and feedback, opportunities opening and closing, and repertoires that evolve historically (McAdam et al., 2001; Tarrow, 1993, 2011; Tilly, 2005). Yet these contributions were absorbed into a broader analytic common sense that equates temporality with heightened public activity. In that idiom, the field tends to concentrate causal attention at the crest of contention and to treat what comes after as coda or decline. The result is a double compression: empirical (since data infrastructures privilege episodic protest) and theoretical (since concepts are linked to emergence and escalation rather than to maintenance, translation, continuity or recomposition).

Conceptually, the field has long acknowledged that contention unfolds in rhythms, and the vocabulary of cycles and waves captures important dynamics of clustering and feedback (Tarrow, 1993). However, rhythms are not the only temporal form through which movements endure. If we limit temporality to crests, we reduce continuity to an interval between peaks rather than a set of mechanisms with their own dynamics. Classic work on “abeyance” explicitly redirected attention to those intervals by showing how organizations, networks, and identities stabilize and adapt during periods of quiescence (Taylor, 1989; Whittier, 1995). Similarly, scholarship on repertoires and diffusion demonstrates that what appears as innovation at one moment is often the reactivation or recombination of elements accumulated earlier (Strang and Soule, 1998; Tilly, 2005). However, these insights have not been fully integrated into the core explanatory frameworks that dominate the study of protest upsurges, with the consequence that post-peak trajectories are too often reduced to decline curves or institutional “endings.”

A more relational understanding of what occurs following the peak requires relocating episodes within longer arcs of organizational, institutional and biographical times. Organizationally, activist groups invest in infrastructures (training routines, meeting spaces, archives of frames and narratives) that preserve capacity and enable re-mobilization, even when street protest subsides (Blee, 2012; Tilly and Wood, 2015). Institutionally, the effects that matter most may be delayed or indirect, as movements recalibrate administrative routines, professional norms, and policy feedback through iterative interactions rather than punctuated reforms (Amenta et al., 2010; Giugni, 1998). Biographically, activists’ trajectories traverse phases of latency, re-entry, and role redefinition, linking individual life courses to organizational reproduction and strategic recalibration (Melucci, 1989; Whittier, 1995). These temporal records intersect at different speeds and scales, meaning that the significance of a peak is often only legible considering the movements that unfold through the silences.

Critiques of event-centrism also reach beyond outcomes to questions of transformation. Movements seldom “decline” in a unilinear sense; they recompose. Organizations change scale and form; alliances shift domains; repertoires are trimmed, archived, or repurposed. Literature on latency and infrastructures has begun to name these processes, including the emergence of mutual-aid ecologies, the routinization of digital coordination, and the anchoring of activist knowledge in repositories that travel across cohorts (see contributions surveyed in the latency and infrastructure scholarship). These developments complicate simple accounts of institutionalization as co-optation. Post-peak institutional interfaces can entrench gains, generate new resources, or harden boundaries, and the balance among these effects is contingent on how movements manage their “quiet” phases and on how external actors respond (Amenta et al., 2010; Tilly and Wood, 2015).

What then is the state of the field on post-peak dynamics? First, we have compelling accounts of rhythms, diffusion, and mechanisms of escalation, paired with strong warnings about the epistemic limits of media-derived event data (Earl et al., 2004; Oliver and Myers, 1999). Second, we have partial but significant theorization of continuity, particularly through abeyance and movement communities that maintain collective identities and networks in low-visibility periods (Taylor, 1989; Whittier, 1995). Third, we have a robust outcomes literature that now explicitly distinguishes immediate policy effects from delayed, indirect, and cultural consequences, thereby opening a temporal lens on “what movements leave behind” (Amenta et al., 2010; Giugni, 1998). Fourth, we have an emerging conversation on temporality that urges social movement studies to take time seriously as an analytic dimension, not just as chronology or sequence, which strengthens links to historical sociology (Mahoney and Thelen, 2010; Pierson, 2004; Sewell, 1996).

Nonetheless, foundational domains remain underdeveloped. We lack a consolidated theory of duration that specifies the mechanisms through which capacities, identities, and infrastructures persist, mutate or end between cycles. The field has only a thin vocabulary for decline that moves beyond resource attrition to patterned recomposition, including shifts from public disruption to institutional bargaining or knowledge production. Long-term effects, though increasingly recognized, are still difficult to trace, in part because designs remain tethered to episodic data and short observation windows. Intergenerational transmission (the ways frames, skills, and networks are passed from senior cohorts to new entrants, within families and across organizations) appears in specialized literatures but is rarely embedded in general models of movement change. Each of these gaps is amplified by the field’s inherited tendency to read silences as empty time rather than as constitutive phases in which crucial work occurs.

Addressing these gaps will require methodological recalibration alongside conceptual revision. Mixed-method designs that combine event series with archival reconstruction of organizational fields can maintain the empirical strengths of protest-event analysis while redressing its temporal blind spots (Earl et al., 2004). Sequence analysis aligned with process tracing can treat episodes as junctures within longer causal chains, while life-course approaches can capture biographical recomposition across decades (Abbott, 2001). Analytically, importing tools from historical institutionalism can help specify when and how post-peak interactions generate feedback that entrench movement gains or reshape arenas of contention (Mahoney and Thelen, 2010; Pierson, 2004). Conceptually, integrating abeyance, diffusion, and repertoire layering within the same temporal frame would move theories of emergence and decline toward a single theory of transformation, one that treats silences as active sites of maintenance, learning, and transmission (Strang and Soule, 1998; Taylor, 1989; Tilly, 2005).

Exceptions to the rule: Toward a growing interest in temporality

Against the backdrop of an event-centered common sense, a set of exceptions has quietly expanded the temporal vocabulary of social movement research. These contributions do not yet constitute a consolidated paradigm; rather, they form a dispersed but increasingly articulate conversation that takes serious duration, decline, long-term effects, and intergenerational transmission. The very fact that these strands emerged as “exceptions” underscores the field’s asymmetry: theories of takeoff, escalation, and diffusion are comparatively mature, whereas theories of how movements endure, transform, and pass on capacities across time remain underdeveloped (Amenta et al., 2010; Giugni, 1998).

The earliest and most explicit pushback against peak-centric thinking came from work on abeyance and continuity. Taylor’s account of the U.S. women’s movement conceptualized low-visibility periods not as absence but as structured phases of organizational preservation, identity maintenance, and strategic recalibration (Taylor, 1989). Whittier extended this perspective by showing how “movement communities” and generational cohorts sustain collective identity across shifting political contexts (Whittier, 1995). These studies reframed silences as analytically productive time, thereby dislodging the assumption that what happens after the peak can be glossed over as simple decline. Relatedly, research on diffusion and repertoires demonstrated that tactical innovation is historically layered; repertoires are not replaced wholesale but recombined and reactivated as actors draw on past stores of knowledge (Strang and Soule, 1998; Tilly, 2005).

A second set of exceptions redirected the outcomes debate toward delayed and indirect effects. Giugni’s pioneering review challenged scholars to look beyond immediate policy shifts to cultural and institutional changes that materialize through longer causal chains (Giugni, 1998). Subsequent syntheses specified these pathways and highlighted how effects accumulate through iterative interactions with states, parties, professions, and publics (Amenta et al., 2010). This research did not deny the significance of crests; rather, it showed that the meaning of a peak is often legible only in light of what groups carry forward through quieter phases. By extending observation windows and broadening the domain of “consequences,” outcomes research sketched temporal analytics that other subfields could build upon.

A third set of contributions interrogated temporality directly. The “time turn” within social movement studies has insisted that movements be analyzed as multi-scalar temporal formations (Gillan and Edwards, 2020). Organizational time (recruitment, apprenticeship, interpretive maintenance), institutional time (agenda setting, feedback, rule reinterpretation), and biographical time (entry, latency, re-entry) operate at different speeds and interact in patterned ways (McAdam et al., 2001; Melucci, 1989; Tilly and Wood, 2015). This move resonates with eventful sociology’s emphasis on events as re-articulations of structures that ramify across temporal horizons rather than as points that begin and end processes (della Porta, 2008; Sewell, 1996). It also aligns with methodological reflections on the limits of event-derived data and the need to combine protest chronologies with archival reconstruction, ethnography, and life-course designs (Earl et al., 2004; Oliver and Myers, 1999).

Despite these advances, the theories we possess for duration, decline, long-term effects, and intergenerational transmission remain partial. Duration often appears as an empirical descriptor rather than as an explanandum with identifiable mechanisms. Decline is still too easily equated with resource attrition instead of theorized as patterned recomposition (e.g. shifts from public disruption to institutional translation). Long-term effects are best recognized when they involve gradual institutional changes, such as stratification, drift, or conversion. Intergenerational transmission has grown within political socialization and memory studies, yet rarely anchors mainstream theories of movement change (Gongaware, 2010; Whittier, 1995). These gaps are precisely where adjacent literature can be most helpful.

Scholarship on revolutions offers one set of resources. Classic comparative-historical work insisted that transformative contention cannot be understood without reconstructing long arcs of state formation, class coalitions, and crisis sequences (Goldstone, 1991; Skocpol, 1979). Although the causal architectures in these traditions vary, they share a commitment to temporality as sequence and to the analysis of critical conjunctures that reconfigure trajectories. Importing that sensibility into social movement studies encourages designs that situate episodes within longer processes of institutional development and state–movement interaction (the longue durée), rather than treating the state as a static backdrop. Historical institutionalism provides complementary tools. Concepts such as path dependence and increasing returns (Pierson, 2004), and mechanisms of gradual change (layering, drift, conversion) under conditions of ambiguity and power asymmetry (Mahoney, 2000; Mahoney and Thelen, 2010), allow movement scholars to specify how post-peak interactions generate feedback that entrench gains, reshape fields, or channel future claims.

Against this background, emergent lines within social movement research can be mapped more clearly. One line explores “trajectories” rather than “episodes,” tracing how targets, alliances, and tactical mixes evolve across multiple campaigns and arenas; here, sequencing across fields becomes central to explaining reorientation over time (McAdam et al., 2001; Strang and Soule, 1998). A second line foregrounds latency and infrastructure, documenting the mundane work that preserves capacity and enables re-mobilization; this work often occurs out of public view yet shapes what later becomes thinkable (Blee, 2012). A third line connects outcomes to institutional theory, specifying when disruptive moments induce self-reinforcing policy feedback and when they are absorbed or redirected through incremental adjustments (Amenta et al., 2010; Pierson, 2004). A fourth line treats biographical and intergenerational time as integral rather than peripheral, showing how cohorts inherit scripts and networks and how memory anchors stabilize identity across political seasons (Gongaware, 2010). These lines remain uneven and dispersed, but together they amount to a growing interest in temporality that moves beyond an exclusive focus on peaks.

Memory, transmission, and intergenerational reproduction

Long-term analysis requires taking seriously the cultural and organizational mechanisms that carry tactics, identities, and frames from one historical moment to the next. Rather than treating “memory” as a diffuse backdrop, we approach it as a set of devices and practices (ritual commemorations, archives and repertoires, training) that stabilize knowledge and make it actionable across time (Zamponi, 2018). Classic work on abeyance had previously demonstrated that low-visibility periods are structured phases in which organizations preserve networks, maintain interpretive schemas, and apprentice new actors (Taylor, 1989; Whittier, 1995). This perspective reframes silences as productive time (not empty interludes), thereby positioning intergenerational transmission as a constitutive process through which movements endure and adapt.

There are at least three analytically related issues at stake. First, which mnemonic devices operate within movement communities, and how do they connect everyday organizing to broader repertoires of remembrance? Ethnographic and historical research suggests that commemorations, anniversary celebrations, and shared narratives anchor collective identity, while also encoding “how-to” knowledge (Gongaware, 2010; Zamponi, 2018). Archives (both institutional and ad hoc) preserve leaflets, chants, visual symbols, and campaign scripts; when curated and taught, these materials become portable toolkits that facilitate strategy under changing conditions (Blee, 2012). Second, how do tactical legacies vary between generations? Diffusion scholarship indicates that what appears as innovation is frequently a recombination of previously sedimented tactics (Strang and Soule, 1998). Yet the same inheritance can yield divergent outcomes depending on cohort formation and opportunity structures (e.g. a disruptive tactic celebrated by one generation may be reinterpreted by the next as a cautionary tale), which implies that transmission is selective and often contested within organizations (Blee, 2012; Whittier, 1995). Third, under what conditions does memory enable continuity and when does it anchor inertia? Temporal analyses of movement trajectories show that mnemonic anchors can lower coordination costs and sustain commitment, but they may also lock actors into familiar repertoires that do not necessarily function well in new institutional arenas (Tilly and Wood, 2015). The same rituals that consolidate identity can foreclose experimentation if they become liturgical rather than pedagogical.

These questions open a bridge between micro-processes of apprenticeship and macro-patterns of continuity. A long-term lens invites research that follows mnemonic devices across organizational time (how training and archiving preserve capacities), institutional time (how memories of prior confrontations structure state–movement interactions), and biographical time (how activists move through phases of latency and re-entry carrying learned scripts) (Taylor, 1989; Whittier, 1995). The payoff is twofold. Conceptually, memory becomes a mechanism that links episodes into trajectories, specifying how repertoires and frames are reproduced and revised. Empirically, it furnishes tractable questions for case-based and comparative work: which commemorations function as “memory anchors,” which archives travel between cohorts, which organizational settings operate as training reservoirs, and when inherited scripts catalyze adaptation rather than routinization (Strang and Soule, 1998; Tilly and Wood, 2015).

Latencies and infrastructures of activism

A long-term perspective brings into focus what is often invisible at the crest of mobilization: the networks, knowledges, resources, and “free spaces” that enable movements to hibernate and re-emerge. Rather than treating downturns as empty intervals, we conceptualize latency as organized time in which capacities are preserved, repertoires are curated, and cohorts are apprenticed. The abeyance tradition established this insight by showing how organizations sustain collective identities, ties, and skills under unfavorable conditions (Whittier, 1995). Melucci’s distinction between submerged networks and public visibility further clarifies how movements oscillate between low-profile reproduction and overt contention, with the former furnishing the cultural codes and relational tissues that make the latter possible (Melucci, 1984, 1989).

If we shift attention from episodes to infrastructures, the central research question becomes how movements maintain capabilities during periods of low visibility. Ethnographic and historical work indicates that organizational routines (training, mentoring, record-keeping), material anchors (meeting places, mutual-aid circuits), and repositories of narratives and tactics (archives, handbooks, repertoires) function as maintenance devices that reduce coordination costs when opportunities open (Blee, 2012; Tilly and Wood, 2015). Free-space scholarship adds that relatively autonomous venues (cultural centers, squats, student associations, neighborhood groups) operate as communities of practice in which novices acquire tacit know-how through situated participation (Evans and Boyte, 1986; Lave and Wenger, 1991; Polletta, 1999). Taken together, these strands suggest that “militant capital” (skills, credibility, networks) accumulates in latency through repeated, low-visibility practices and can later be mobilized across issues and arenas.

A second question concerns the conditions that activate reappearance. Diffusion research shows that tactical “innovation” often recombines sedimented elements and travels along preexisting ties forged in quieter phases (Strang and Soule, 1998). When external shocks or shifting alignments occur, stored capacities can be rapidly converted into public action, but the form of re-emergence depends on what was preserved: groups that maintained bridging ties and pedagogical archives are more likely to adapt repertoires to new institutional terrains, whereas groups whose memory practices are liturgical rather than reflexive may reproduce familiar tactics even when they fit poorly (Tilly and Wood, 2015; Whittier, 1995). Finally, a third question links latency to disengagement and recomposition: infrastructures that facilitate exit with honor, lateral moves, or role shifts can prevent resource attrition from leading to collapse and can seed later cycles with experienced cadres (Fillieule, 2010).

These propositions connect micro-processes of learning to macro-patterns of continuity. This does not mean that decline necessarily means decay and eventually, disappearance or defeat (Owens, 2009). However, by treating latency as structured reproduction and infrastructures as causal mechanisms (not mere background) we obtain tractable hypotheses about where capacities reside, how “militant capital” accumulates or dissipates, and the circumstances under which it can – or not – be reactivated.

Continuity, trajectories, and path dependency

A long-term perspective reframes the familiar narrative of rise and decline by focusing on how collective projects move through phases of persistence, rupture, and metamorphosis. Continuity is not the empty space between peaks. It is produced by mechanisms that preserve networks, identities, and repertoires, while discontinuity rarely denotes collapse, so much as recomposition along new lines (Whittier, 1995). When we follow movements as trajectories rather than episodes, we observe sequences in which earlier organizational forms, alliances, and mnemonic anchors condition subsequent strategic choices, thereby channeling change and making certain futures more likely than others (McAdam et al., 2001; Tilly and Wood, 2015).

Path-dependent accounts help clarify when and how movements sustain themselves or decay. Critical junctures (moments when actors commit to organizational templates, coalition partners, or tactical mixes) generate increasing returns that stabilize practices over time (Mahoney, 2000; Pierson, 2004). These commitments can lower coordination costs and enable endurance but can also create “points of no return” that render later shifts costly. As contexts evolve, gradual institutional change (layering, drift, conversion) often governs movement trajectories: organizations append new routines to old templates, neglect or reinterpret rules, or repurpose existing infrastructures for novel aims (Mahoney and Thelen, 2010). From this vantage point, apparent discontinuities frequently reflect patterned bifurcations rather than exogenous breaks, while large protest movements and cycles of contention appear as opening critical junctures (della Porta, 2020).

Institutionalization is a key site where trajectories shift. Rather than a simple dichotomy between cooptation and autonomy, empirical cases show multiple forms: anchoring (durable interfaces with agencies or professions), isomorphic adaptation (adoption of organizational forms that travel across fields), and hybridization (movement–party or movement–non-governmental organization complexes that straddle arenas). Which form emerges depends on earlier path choices and feedbacks: groups that accumulated “institution-facing” capacities in latency (legal expertise, policy literacy, stable intermediaries) are more likely to anchor claims inside routines, whereas groups whose repertoires are tightly coupled to public disruption may hybridize through alliances that externalize insider functions (Tilly and Wood, 2015). Diffusion research reminds us that continuity also runs through repertoires, which are recombined rather than replaced, yielding lineages of tactics that adapt to shifting constraints without erasing their ancestry (Strang and Soule, 1998).

These dynamics open specific questions for long-term analysis: under what conditions do early organizational templates generate self-reinforcing endurance, and when do they lock movements into declining returns? Which conjunctures constitute genuine “no return” thresholds (e.g. formalization of leadership, professionalization of staff, or hard alignment with parties), and which are reversible through layering or conversion? How do distinct institutionalization pathways (cooptation, anchoring, isomorphism, hybrids) map onto different outcome profiles over time? By connecting continuity and discontinuity to trajectories and path dependence, we bridge eventful moments with the slow transformations through which movements (sometimes imperceptibly) reconstitute themselves and their environments.

Delayed or enduring effects and legacies

Long-term analysis requires treating movement impact as a temporally extended phenomenon in which institutional, cultural, and discursive changes often materialize after visible contention subsides. Early outcomes syntheses already urged scholars to look beyond immediate policy shifts toward delayed, indirect, and field-level consequences (Amenta et al., 2010; Giugni, 1998). Building on that insight, we conceptualize “enduring effects” as transformations that accumulate through feedback and translation (e.g. agenda displacement, normative redefinitions, professional retooling) and that become legible only across extended observation windows (Mahoney and Thelen, 2010; Pierson, 2004).

In this sense, there are at least three empirical challenges. First, measurement: how should we determine effects that are not aligned with the peaks? Agenda shifts can be traced through longitudinal analyses of political processes and public discourse (including the idea of “focusing events” as catalytic but insufficient), while cultural and cognitive change can be approached via the institutionalization of frames in, for example, curricula, professional standards, and administrative routines (Birkland, 1997). Rather than relying exclusively on event counts, designs should combine protest chronologies with archival reconstruction and field-level indicators so that delayed conversions (e.g. a claim’s eventual codification in agency guidance) enter the causal narrative (Amenta et al., 2010).

Second, channels: through which mechanisms do effects persist? Public memory (commemorations, narrative canons) maintains issues as salient and lowers coordination costs for future cohorts; policy feedback generates increasing returns that entrench reforms or routinize new procedures; professional fields mediate diffusion by translating movement frames into standards of practice (Pierson, 2004; Tilly and Wood, 2015). At the attitudinal level, legacies may be detectable as cohort imprints that outlast cycles of protest and repression, suggesting pathways from episodic contention to durable orientations (Desposato and Wang, 2020). These channels are often sequential and layered, which implies that causal identification turns on careful reconstruction of timing and mechanism rather than contemporaneous correlations.

Third, attribution: how to distinguish legacy from simple coevolution? Here sequencing and path dependence are pivotal. If movement-linked events reconfigure structures in ways that channel subsequent trajectories, we expect identifiable “points of no return” (e.g. the creation of a legally recognized interlocutor or the professionalization of watchdog roles) that alter later choice sets (Mahoney, 2000; Minkoff, 1997; Sewell, 1996). Conversely, coevolution without legacy is likely to lack such links or exhibit parallel change driven by common exogenous shocks. The analytical challenge lies in integrating these episodes into longer chains, demonstrating how earlier interventions generate feedback (accumulation, drift, conversion) that leads to delayed adoption and stabilization (Mahoney and Thelen, 2010).