A new breed of prophets – intermediaries and pastoral bros of an AI industry with metaphysical aspirations – has surfaced on the global stage during troubled times. They make great promises, offer predictions and warnings, and stake out directions for humanity. This article argues that they do so by invoking the implicit collective memory of the apocalyptic imaginary known from ancient Jewish apocalyptic writings and, more specifically, by reenacting what we call prophetic memory. Through close readings in the tradition of biblical exegesis coupled with philosophical and critical hermeneutics, we trace strong AI narratives of doom and salvation to a range of media forms such as Twitter/X postings, books, interviews, journalistic feature articles, and reporting. Through these media, AI prophets speak of the end times while simultaneously offering a new beginning for humankind, not unlike the ancient prophets of the Hebrew Bible. Prophetic memory, we submit, is furthermore a mode of ‘collective future thought’ and an instantiation of the ‘remembering-imagining-system’. While its purpose is to create stability for a particular vision for the future, there is also a productive ambivalence of order and disorder at work within the apocalyptic AI imaginary. To question this ambiguous yet extremely powerful fixture on the human horizon, there is a need, we argue, for bothering the political-religious dimensions of the hegemonic AI imaginary and for scrutinizing how the AI industry founds its power base on the clout of prophetic memory – in a time of crisis in which many look for guidance and direction.

This paper presents the theory of improvisational emergence, an account of how social phenomena emerge from improvisational processes. I build outward from the small-group improvisational encounter to provide an account of the relationship between individuals, groups, and societies. Social entities, including groups and societies, emerge from people engaged in group improvisation. But even though social entities emerge from individuals in interaction, their study cannot be reduced to the study of individuals, because once having emerged, social entities have causal power over individuals. The theory of improvisational emergence addresses the structure-agency relationship and the micro-macro debate in sociological theory. It moves beyond practice and structuration theories in positing an ontological separation between people and society. Improvisational emergence allows us to explain the relationship between the improvisational creativity of each participating individual and the collective improvisationality of the group. A complete understanding of social phenomena, including social structures, norms, and cultures, must be grounded in the theoretical and empirical study of creative improvisation.

Public opinion surveys are an indispensable tool for studying politics in Southeast Asia. But publicly available data are often in short supply in the region. To this end, we introduce SIKAP, a harmonized and open-access dataset of 58 weekly surveys (N = 95, 923) conducted in advance of, during, and in the aftermath of the 2024 Indonesian general election. We describe the data collection procedures and assess the quality of the sample. We demonstrate its utility by analyzing the effects of two political events on Indonesian voters’ attitudes in almost real time. First, we show that a constitutional crisis in August 2024 where the coalition of then President Joko Widodo (Jokowi) defied the Constitutional Court’s rulings led to a sharp but ultimately temporary decline in the public’s approval of Jokowi. Second, we show that voters who supported candidates other than Prabowo Subianto in the general election report large and persistent declines in support for democracy in the aftermath.

Smallholder farmers in developing economies are key suppliers in agri-food value chains, yet often lack capabilities to meet quality, reliability, and sustainability expectations. This paper presents a systematic literature review of empirical studies on farmer development, conceptualised as supplier development at the farm gate to examine who builds farmers’ capabilities, which initiatives are implemented, and with what sustainability outcomes. Searches of a multidisciplinary library discovery service and Scopus identified 15 studies reporting implemented farmer development initiatives and farmer-level outcomes in developing economies. The synthesis shows that capability building is dominated by government and non-governmental organisation-led programmes, typically bundling training, extension, input provision, and financial support, while buyer-led initiatives are rare and performance is measured mainly in economic terms, with social and environmental dimensions under-specified. The review positions smallholder capability building within supply chain management and argues that building smallholder capabilities is both a development imperative and a strategic supply chain task.

We present a method for imposing quasineutrality and, more generally, charge density conservation in the Vlasov–Poisson (VP) and Vlasov–Ampère (VA) systems, which describe electrostatic plasma dynamics, by applying the Dirac theory of constraints. Leveraging the Hamiltonian field formulations of the VP and VA models, we construct generalised Dirac brackets using the Dirac algorithm. The resulting constrained systems enforce charge density conservation, and consequently quasineutrality, given that the initial charge density is zero, through new advection terms in the Vlasov equations involving generalised-force terms, while the electric field is eliminated from the constrained Vlasov dynamics. To verify charge density conservation we conduct one-dimensional numerical experiments using a semi-Lagrangian method, demonstrating that the enforcement of the quasineutrality constraint significantly modifies the dynamics. This approach enables us to identify the forces required to enforce quasineutrality, offering a systematic way to assess the validity of the quasineutral approximation across different kinetic scales.

I present a new ontological argument that rests on two evaluative theses, both inspired by Anselm’s Proslogion 2. First, for any F and Q, it is no better for there to be an F, given Q, than it is for there to be something perfect. Second, it is better for there to be something perfect if there is such a thing than if there isn’t. It follows that there is something perfect. I examine these premises, consider some parodies, and suggest possible atheistic replies.

This article examines the replication of the Statue of Peace as a form of civic resistance and re-commemoration in response to the Japanese government’s efforts at de-commemoration. It advances three central arguments. First, replication functions as re-commemoration that resists state-led erasure of the “comfort women” memory. Second, this process constitutes a hauntological cycle, in which attempts to suppress unresolved memories only intensify their return. Third, both state and civic actors must embrace these haunting memories as enduring presences. The study draws on Derridean hauntology and case studies to support this framework.

In this study, we build on our previous work that examines the creative dancemaking collaboration between choreographers and arborist-dancers as they work together in rehearsals to create a performance featuring the workaday skillfulness of urban foresters. They face unique challenges and contingencies because to step into each other’s professional worlds requires a provisionally shared way of thinking that cuts across their diverse experiences; therefore, the two groups create external representations with their bodies (i.e., marking) to bridge epistemic divides. We extend our previous analysis of this microethnographic context—analyzing a routine where an arborist drives a loader truck to distribute mulch—by further demonstrating the semiotic purchase of Charles Goodwin’s interactional semiotics. Goodwin’s notion of “situated improvisation” is especially helpful for making sense of the embodied diagrams that emerge in marking together—a jointly crafted conceptual world makes perceptual experiences of both groups readable and deployable for dance creation.

Members of the majority party in Congress sometimes vote against bills that they prefer over the status quo. We estimate a model of congressional roll-call voting that allows for this kind of non-ideological protest voting. We find that protest voting has significant implications for roll-call-based estimates of ideology and other analyses that rely upon them. For example, a traditional item response theory model curiously identifies members of the Squad as relatively moderate Democrats, but our protest-voting-adjusted scores identify them as the most liberal members of Congress. We also find that previous studies may have underestimated responsiveness, the effects of ideology in elections, the utility of non-roll-call-based measures of ideology, and the increase in congressional polarization. Although the implications for most substantive applications are likely modest, our analyses suggest that future researchers can better measure legislative ideology by accounting for a small number of non-ideological votes.

NEURAL MATERIALS (2024) is a live AV show created by SONAMB (Vicky Clarke). The project represents a collaboration between Vicky Clarke, visual artist Sean Clarke, and industry partner Bela, a company specialising in hardware with interactive sensors for music-making. The AV show utilises a new performance system incorporating a hybrid set-up in combination with both a sound sculpture and the output of a machine learning model trained on a ‘post-industrial’ sonic dataset. The dataset renders in sound Manchester’s industrial past and present through field recordings of cotton mills, the canal network and the electromagnetic resonances of a newly gentrified city centre. This article analyses NEURAL MATERIALS as musical composition, live AV show and a demonstration of creative audio-generative AI, linking the work to scholarly and compositional legacies of Sonic Materialism and musique concrète. By combining documentation analysis and performance analysis, I interrogate how sound’s indexical properties are transformed via machine learning (ML) processes, questioning whether machines are able to evoke a sense of space or heritage. Ultimately, I contend that such audio-generative systems have the capacity to reshape our perception of industrial histories, technologies and future sonic realities, indexing sociohistorical cues that are reactivated at the point of listening.

Metaphors abound for mycorrhiza in both science and fiction. From the “wood wide web” to “mother trees,” “social networks” to “neurological networks,” analogies expand and transform public understanding of the complex and elusive interactions between plants and fungi occurring under our feet in forest ecosystems. However, the line between metaphor and the more-than-metaphorical, fact and fiction, is not always clear, causing heated debates about the role of metaphor in the scientific imagination and science communication. As a mycologist and literary scholar, we enact an interdisciplinary symbiosis inspired by mycorrhiza themselves to explore the mycorrhizal metaphors in the past decade, which are entangling and enriching both science and fiction, from Tade Thompson’s Rosewater (2016) to Merlin Sheldrake’s Entangled Life (2020), Richard Powers’s The Overstory (2018) to Suzanne Simard’s Finding the Mother Tree (2021). We reaffirm the fundamental value of metaphors in how scientists and nonscientists alike seek to understand fungi in a world increasingly fascinated by and dependent upon them.

In random-effects meta-analysis, the between-study heterogeneity variance, $\tau ^2$, is often reported but is not easy to interpret. For meta-analyses of differences (such as mean differences, standardized mean differences, or risk differences), the standard deviation (SD), $\tau $, indicates the extent to which studies’ true effects vary about their average. For meta-analyses of (natural) log-transformed measures of effect (such as log risk ratios [RRs]), we explain how the geometric SD, $\exp (\tau )$, is helpful to understand how untransformed measures (such as RRs) vary multiplicatively about their average. We recommend that authors and software developers report $\tau $ for differences and $\exp (\tau )$ for ratios, rather than $\tau ^2$. This will facilitate the interpretation of the magnitude of heterogeneity values, for example, the interpretation of heterogeneity estimates and confidence intervals beyond simple binary statements about the presence or absence of heterogeneity.