By applying narrative inquiry and cartographic reconfiguration of two significantly transformed neighborhoods, Qasr and Heshmatieh, in Tehran, in this study we analyze the practice of remembering within the context of memory politics. We aim to critically examine how residents of these neighborhoods, situated near major state security and military facilities, alter their recollections of the past. Inspired by de Certeau's concepts of strategy and tactics, the analysis seeks to identify the narrative tactics employed by interviewees to interpret the often imposed transformations of the area. Our findings underscore the process of “disremembering” as a hallmark of the transformation, perpetuated through constant “replacements.” Furthermore, they highlight four layers of transformation in the area, discussed within the framework of significant literature on Tehran's spatial transformation.

As more people are displaced by climate change, public acceptance of migrants is an increasingly relevant geographical and political issue. How willing are Americans to accept climate migrants and how does this support compare to others who are fleeing conflict? We conducted a nationally representative survey experiment (N=1,027) with prompts that varied the context of refugee resettlement, including a control condition without context, those displaced by global warming, refugees from Ukraine, and refugees from Afghanistan. Respondents expressed marginally lower willingness to admit climate migrants and significantly higher willingness to admit Ukrainian refugees. These differences were amplified by partisanship, religion, and race. These results suggest that some migrants experience a more welcoming public than others and highlight a challenge for those who are made vulnerable by climate change.

This article explores the relationships between utopianism, activism and networks in the early career of the Hungarian musicologist János Maróthy (1925–2001). A prolific author of pioneering work on the social history of European peasant and urban folk songs from the antiquity to the modern era, Maróthy is noteworthy for establishing academic research of popular music in Hungary, both preceding and contributing to the emergence of new musicology and popular music studies in European and Anglo-American academia at the turn of the 1980s. Maróthy mediated between various grassroots movements and the party state's institutions and was a participant observer of various off-the-mainstream music-related scenes formed in Romani workers’ hostels and jazz clubs. His Department of Music Sociology (at the Institute for Musicology of the Hungarian Academy of Sciences) conducted and commissioned research on the local history of workers’ songs, urban folklore, empirical studies of musical taste, and the social life and institutions of youth music. This article offers a critical overview of Maróthy's career from its onset in 1948 up to the mid-1960s. This turbulent period witnessed the most repressive years of Stalinism, the anti-Soviet revolution of 1956, its defeat, and the gradual consolidation of a more liberal Kádár-led regime. It examines how changing political and intellectual trends, ideologies and national and supranational realignments within the Soviet Bloc (and beyond) shaped the forms and meanings of Maróthy's multi-faceted activism, along with his shifting ideas about the relationships between music, political movements and entertainment.

The present article will reconsider the historiographical value played by the 182 bc Antigonid military ritual – known as Xanthika. Firstly, in order to appraise ancient historiographical adaptations and modern analytical shortcomings, this article will retrace extant ancient sources and, secondly, its current state-of-the-art. Thirdly, the original Polybian treatment will be discerned from its Livian adaptations, and historiographical distinctions will be proposed for each version. Fourthly, the Xanthika will be reconsidered as a key historiographical device through which Polybius coupled the Hellenic themes of Alexandrian legitimacy, deep-rooted tyrannical discord, and irreversible royal decadence within a larger narrative of the Roman ascendance towards world dominance.

The reign of Tammarītu is one of the most enigmatic parts of Neo-Elamite history because documents have attested that two individuals with that name but two different titles, “king of Ḫidalu” and “king of Elam,” played significant roles in the historical events. The lack of dates in many documents complicates establishing a secure chronology and attributing events to Tammarītu, king of Ḫidalu, or Tammarītu II/Tammarītu, king of Elam. Scholars generally agree that the documents in which Tammarītu is called “king of Elam” cannot be attributed to Tammarītu, king of Ḫidalu. However, a comparison of Ashurbanipal's annals with other available documents does not support this viewpoint.

The rise of populism concerns many political scientists and practitioners, yet the detection of its underlying language remains fragmentary. This paper aims to provide a reliable, valid, and scalable approach to measure populist rhetoric. For that purpose, we created an annotated dataset based on parliamentary speeches of the German Bundestag (2013–2021). Following the ideational definition of populism, we label moralizing references to “the virtuous people” or “the corrupt elite” as core dimensions of populist language. To identify, in addition, how the thin ideology of populism is “thickened,” we annotate how populist statements are attached to left-wing or right-wing host ideologies. We then train a transformer-based model (PopBERT) as a multilabel classifier to detect and quantify each dimension. A battery of validation checks reveals that the model has a strong predictive accuracy, provides high qualitative face validity, matches party rankings of expert surveys, and detects out-of-sample text snippets correctly. PopBERT enables dynamic analyses of how German-speaking politicians and parties use populist language as a strategic device. Furthermore, the annotator-level data may also be applied in cross-domain applications or to develop related classifiers.

Research has shown that as the size of government assistance programs grow, and the recipients of such programs are increasingly non-white and/or non-citizen, public support for them declines. Our study examines this phenomenon on the question of deservingness in federal disaster assistance. Using a 2018 survey experiment that leverages two devastating hurricanes—Hurricane Maria and Hurricane Harvey—that hit different parts of the United States in 2017, we explore how the social identities of race/ethnicity and partisanship affect attitudes about disaster deservingness. Our results demonstrate that although federal disaster assistance has broad support, it is contingent on perceptions about the disaster victim and the type of assistance. Respondents were less likely to support disaster assistance to Hurricane Maria–affected people than those affected by Hurricane Harvey. Moreover, white and Republican respondents were more likely to favor market-based assistance whereas race-/ethnic-minority and Democratic respondents were more likely to support more generous forms of disaster assistance. These findings have important implications for the allocation of disaster funds as climate change intensifies and the frequency of billion-dollar disaster events increases. This is exacerbated by political polarization and heightened social vulnerability due to changing population demographics.