Search Results (461)

In comparative analyses, specific features of the Spanish welfare and housing systems have often been emphasized. The case of Barcelona illustrates the extent to which these features are the result of a long-standing historical trajectory and the decisive impact of the challenges and policy responses adopted during Franco’s lengthy, dark, and gloomy regime. This period marked a significant shift, not only due to the persistent shortage of social rental housing, but also because of the early consolidation of a homeownership culture and its dominance in working-class suburban areas—a legacy that is completely different from that of the welfare states of Western Europe. Through a review of the literature and the analysis of primary sources, ongoing research on Barcelona seeks to clarify the factors and processes that led to this transformation, as well as its evolution during the democratic period, within an international context of economic liberalization and the dismantling of the welfare state. Full article

Public opinion on public healthcare rationing regarding gender identity is crucial for democratic policymaking because of public concern regarding sexual orientation, gender identity, and gender expression (SOGIE). Based on rationality theory, rationally equitable rationing depends on equity orientations and prioritizing public interest over self-interest. Specifically, equity orientations include those toward equality, need, personal contribution, and social contribution. To project public preference for public healthcare rationing, this study involved 744 Chinese people in a web survey. These participants indicated their preferences for public healthcare rationing and self-interest, public interest, and equity orientations, including those based on contribution, equality, and need. Regression analysis based on the rationality framework showed that public healthcare rationing that was equal across SOGIE identities was predominantly preferable, based on rational equity. In contrast, public healthcare rationing without considering SOGIE was less preferable, and rationing unequally across gender identities was not preferred. These results imply that affirmative and egalitarian rationing is the most rationally equitable approach. Full article

Background/Objectives: Despite the numerous health benefits of exclusive breastfeeding (EBF) for the infant and the mother, EBF rates in Lao People’s Democratic Republic, Lao PDR, remain at 40%. We investigate how barriers to EBF were overcome by a social transfer intervention. Methods: Data from the Social Transfers for Exclusive Breastfeeding ongoing randomised controlled trial (RCT) (n = 298) in Vientiane, Lao PDR, was used. Mothers in the RCT were randomised equally into a control group, an unconditional transfer group and a conditional transfer group and followed up to six months (n = 280). We used logistic and Cox proportional hazards regression models to investigate the association of predictor variables with EBF at six months and the risk of EBF cessation in each of the three groups. Results: Greater breastfeeding self-efficacy increased the odds of EBF at six months in both intervention groups (unconditional transfer OR 1.39 [95% CI 1.09, 1.87, p = 0.02] and conditional transfer OR 1.26 [1.01, 1.61, p = 0.05]) and reduced the risk of EBF cessation (unconditional transfer HR 0.87 [0.77, 0.98, p = 0.02]). Maternal secondary and tertiary education in the intervention groups showed higher odds of EBF at six months and lower EBF cessation risk. Participants in the intervention group that intended to exclusively breastfeed in pregnancy showed a reduced EBF cessation risk in both intervention groups. Conclusions: Social transfers helped overcome the exclusive breastfeeding barrier of a higher education level and working status and improved EBF outcomes for mothers who intended to exclusively breastfeed and wanted the pregnancy. Breastfeeding self-efficacy positively influences EBF outcome, regardless of whether the mother received a social transfer or not. Full article

This article investigates the political cost of poverty in democracies marked by deep social divisions. We develop a probabilistic voting model that incorporates clientelism as a strategic tool employed by elite political parties to secure electoral support from non-elite voters. Unlike models based on ideological proximity, our framework conceptualizes party competition as structured by the socioeconomic composition of their constituencies. We demonstrate that in contexts of high inequality and widespread poverty, elite parties face structural incentives to deploy clientelistic strategies rather than universalistic policy agendas. Our model predicts that clientelistic expenditures by elite parties increase proportionally with both inequality (GINI index) and poverty levels, rendering clientelism a rational and cost-effective mechanism of political control. Empirical evidence from a cross-national panel (2013–2019) confirms the theoretical predictions: an increase of the 1 percent in the GINI index increase a 1.3 percent in the clientelism, even after accounting for endogeneity and dynamic effects. These findings suggest that in divided democracies, poverty is not merely a condition to be alleviated, but a political resource that elites strategically exploit. Consequently, clientelism persists not as a cultural residue or institutional failure, but as a rational response to inequality-driven constraints within democratic competition. Full article

This study examines the political and elite motives behind Colombo’s ‘world-class city’ initiative and its impact on public housing in underserved communities. Informed by interviews with high-ranking government officials, including urban planning experts and military officers, this study examines how President Rajapaksa’s elite-driven postwar Sri Lankan government leveraged military capacities within the neoliberal developmental framework to transform Colombo’s urban space for political and economic goals, often at the expense of marginalized communities. Applying a contextual discourse analysis model, which views discourse as a constellation of arguments within a specific context, we critically analyzed interview discussions to clarify the rationale behind the militarized approach to public housing while highlighting its contradictions, including the displacement of underserved communities and the ethical concerns associated with compulsory relocation. The findings suggest that Colombo’s postwar public housing program was utilized to consolidate authoritarian control and promote speculative urban transformation, treating public housing as a secondary aspect of broader political and economic agendas. Anchored in militarized urban governance, these elite-driven strategies failed to achieve their anticipated economic objectives and deepened socio-spatial inequalities, raising serious concerns about exclusionary and undemocratic planning practices. The paper recommends that future urban planning strike a balance between economic objectives and principles of spatial justice, inclusion, and participatory governance, promoting democratic and socially equitable urban development. Full article

This article analyzes the role of dance and the arts in European and national educational policy agendas and maps the provision of dance in upper-secondary schools in the district of Porto, Portugal. To understand the role of dance in educational policies, we conducted a document analysis of regulations and decree-laws inspired by Stephen Ball’s policy cycle approach. To explore how these policies materialize in educational contexts, a mapping approach was conducted in upper-secondary schools within the district of Porto, Portugal. Results show that, at the public education policy level, although there is no specific debate about dance, the arts are gradually being included in the educational agendas, but still in a scarce way and with a more instrumental approach. At the institutional level, access to dance in education is not sufficiently democratized, reinforcing social and territorial inequalities. Despite its local scope, the study contributes to the broader international debate on equity in access to education with the arts, mainly dance. It offers insights from Southern Europe—a region often underrepresented in global research—which can inform research and policy development aimed at more inclusive educational systems. Full article

Urban systems are transforming as artificial intelligence (AI) evolves from automation to Agentic Urban AI (AI systems with autonomous goal-setting and decision-making capabilities), which independently define and pursue urban objectives. This shift necessitates reassessing governance, planning, and ethics. Using a conceptual-methodological approach, this study integrates urban studies, AI ethics, and governance theory. Through a literature review and case studies of platforms like Alibaba’s City Brain and CityMind AI Agent, it identifies early agency indicators, such as strategic adaptation and goal re-prioritisation. A typology distinguishing automation, autonomy, and agency clarifies AI-driven urban decision-making. Three trajectories are proposed: fully autonomous Agentic AI, collaborative Hybrid Urban Agency, and constrained Non-Agentic AI to mitigate ethical risks. The findings highlight the need for participatory, transparent governance to ensure democratic accountability and social equity in cognitive urban ecosystems. Full article

The drastic and historic fall in natural rubber prices has prompted many smallholders around the world to abandon rubber plantations in favor of other survival alternatives. In the Lomela and Lodja territories of Sankuru Province (Democratic Republic of Congo), where a historical absence of a rubber market prevails, local communities have conserved rubber plantations inherited from the colonial era (dating back to 1955). Data collected from 401 households enabled us to identify the perceptions and determinants of rubber plantation conservation. The results show that households are highly dependent on forest ecosystem services. Agriculture is the main activity for 81.3% of respondents, in the context of extreme poverty where daily incomes amount to 0.33 USD/person. The patriarchal system favored men, who inherited 97% of the plantations. Men perceived the conservation of the plantations as beneficial, while women perceived it as serving external project interests. Perceptions were significantly influenced by gender, age, social and legal organization, geographical origin, mode of acquisition, main activity, diversification of income sources, membership in a tribal mutuality, access to the informal mutual aid networks, membership in an association and contact with extension services. Conservation was positively and significantly correlated with geographical origin, membership in an association, contact with extension service, consideration of plantations as natural heritage and the ecosystem services provided. These results underline that rubber plantations cannot be understood only in terms of rubber production, but also in terms of their socio-ecological and heritage dimensions. Full article

Legislative documents are crucial to democratic societies, defining the legal framework for social life. In Brazil, legislative texts are particularly complex due to extensive technical jargon, intricate sentence structures, and frequent references to prior legislation. The country’s civil law tradition and multicultural context introduce further interpretative and linguistic challenges. Moreover, the study of Brazilian Portuguese legislative texts remains underexplored, lacking legal-specific models and datasets. To address these gaps, this work proposes a data-driven approach utilizing large language models (LLMs) to analyze these documents and extract knowledge graphs (KGs). A case study was conducted using 1869proposals from the Legislative Assembly of Rio Grande do Norte (ALRN), spanning January 2019 to April 2024. The Llama 3.2 3B Instruct model was employed to extract KGs representing entities and their relationships. The findings support the method’s effectiveness in producing coherent graphs faithful to the original content. Nevertheless, challenges remain in resolving entity ambiguity and achieving full relationship coverage. Additionally, readability analyses using metrics for Brazilian Portuguese revealed that ALRN proposals require superior reading skills due to their technical style. Ultimately, this study advances legal artificial intelligence by providing insights into Brazilian legislative texts and promoting transparency and accessibility through natural language processing techniques. Full article

This study explores the development of reflective thinking among Physical Education Teachers (PETs) through a professional development program grounded in Paralympic values and inclusive education. Employing a qualitative action research design, the study involved seven PETs teaching in Greek primary schools. The intervention lasted ten weeks and comprised 20 Physical Education lessons, during which data were collected via semi-structured interviews, reflective journals, and non-participatory observation. The findings indicate a progressive shift in the teachers’ reflective thinking—from Technical Reflection to Practical and Critical Reflection—as defined in van Manen’s theoretical model. Most participants initially demonstrated a practical orientation but gradually developed a critical stance, incorporating values such as fairness, inclusion, and respect for diversity into their pedagogical thinking. Furthermore, the results revealed increased student sensitivity toward inclusive practices and a more democratic classroom climate. These findings suggest that targeted professional development programs can foster deeper reflective engagement and promote inclusive practices within Physical Education. This study highlights the potential of Paralympic values as meaningful educational content and reinforces the role of Physical Education as a catalyst for social inclusion and teacher professional growth. Full article

The Tunisian uprisings projected an elusive surrealistic scene that was an aberration in a part of the world where Islamic ideology had been considered the only rallying force and a midwife for regime change. However, this sense of exceptionalism was short-lived, as the religiously zealous Islamist expats and their militant executive wings infiltrated the power vacuum to resume their suspended Islamization project of the 1980s. Brandishing electoral “legitimacy”, they attempted to reframe the bourgeoning indigenous democratization project, rooted in an evolving Tunisian intellectual and cultural heritage, along the neocolonial ideological underpinnings of the “Arab Spring” metanarrative, which proffers the thesis that democracy can be promoted in the Muslim world through so-called “Moderate Muslims”. This paper challenges this dominant narrative by offering a counter-narrative about the political transition in Tunisia. It takes stock of the multidisciplinary conceptual and analytical frameworks elaborated upon in postcolonial theory, social movement theory, cognitive neuroscience theories, and digital communication theories. It draws heavily on socio-narrative translation theory. The corpus analyzed in this work consists of disparate yet corroborating narratives cutting across modes, genres, and cultural and linguistic boundaries, and is grounded in insider participant observation. This work opens an alternative inquiry into how the processes of cross-cultural knowledge production and the power dynamics they sustain have helped shape the course of the transition since 2011. Full article

Deficits in social interaction and communication characterize Autism Spectrum Disorder (ASD). Although widely recognized by its symptoms, diagnosing ASD remains challenging due to its wide range of clinical presentations. Methods: In this study, we propose a method to assist in the early diagnosis of autism, which is currently primarily based on clinical assessments. Our approach aims to develop an early differential diagnosis based on electroencephalogram (EEG) signals, seeking to identify patterns associated with ASD. In this study, we used EEG data from 56 participants obtained from the Sheffield dataset, including 28 individuals diagnosed with Autism Spectrum Conditions (ASC) and 28 neurotypical controls, applying numerical techniques to handle missing data. Subsequently, after a detailed analysis of the signals, we applied three different starting approaches: one with the original database and the other two with selection of the most significant attributes using the PSO and evolutionary search methods. In each of these approaches, we applied a series of machine learning models, where relatively high performances for classification were observed. Results: We achieved accuracies of 99.13% ± 0.44 for the dataset with original signals, 99.23% ± 0.38 for the dataset after applying PSO, and 93.91% ± 1.10 for the dataset after the evolutionary search methodology. These results were obtained using classical classifiers, with SVM being the most effective among the first two approaches, while Random Forest with 500 trees proved more efficient in the third approach. Conclusions: Even with all the limitations of the base, the results of the experiments demonstrated promising findings in identifying patterns associated with Autism Spectrum Disorder through the analysis of EEG signals. Finally, we emphasize that this work is the starting point for a larger project with the objective of supporting and democratizing the diagnosis of ASD both in children early and later in adults. Full article

This study examines how climate citizens’ assemblies (CCAs) influence youth engagement, both in practice and in shaping perceptions of political “voice”, drawing on Albert O. Hirschman’s “Exit, Voice, and Loyalty” framework. Through qualitative analysis of 71 interviews, participatory workshops, and observational data across four cities—Barcelona, Bologna, Geneva, and Paris—it explores whether CCAs address youth climate activists’ demands, enable meaningful participation, and yield policy outcomes aligned with their claims. Findings reveal divergent perceptions: in Bologna, co-design with activists tended to foster trust, while Barcelona saw disillusionment due to unmet expectations. Geneva’s embedded deliberative processes strengthened institutional loyalty, whereas Paris faced skepticism as activists turned to civil disobedience. Overall, CCAs’ effectiveness hinges on inclusivity, follow-through, and communication; when perceived as tokenistic, they risk reinforcing disengagement (“exit”). The study underscores the need for embedded, responsive democratic innovations to sustain youth participation amid climate crises. Full article

Social media refers to digital platforms that enable users to create, share, and engage with content within virtual communities. Platforms like Facebook, X, Instagram, and TikTok have democratized content creation, allowing individuals to share ideas, opinions, and experiences with global audiences. Social media has revolutionized the way information is shared and consumed, offering unprecedented opportunities for learning, engagement, and democratic participation. However, this accessibility comes with significant ethical challenges, particularly centered around the paradox of freedom versus harm—the tension between upholding freedom of expression and mitigating the harms of misinformation, privacy violations, and AI-driven bias. This entry explores the dilemmas and opportunities associated with social media, examining how these platforms shape public discourse, influence consumer behavior, and challenge traditional notions of truth and accountability. It aims to provide policymakers, educators, and platform designers with actionable insights to foster ethical social media environments. Full article

This study examines the transformative impact of the Special Zones of Social Interest (AEIS-1) implemented in Diadema, São Paulo, in 1994, as an innovative urban policy tool in Brazil. Rooted in the principle of the social function of property established in the 1988 Federal Constitution, the research analyzes the development of social interest housing projects (HISs) led by housing movement associations. The study adopts a mixed-methods approach, combining primary data from local housing associations and the municipal government with geospatial analysis. The results reveal that between 1996 and 2013, over 20 LHISs were successfully established, directly benefiting approximately 2000 low-income families. These projects utilized a self-construction model financed entirely by families, overcoming the lack of public investment. The findings highlight the critical role of housing associations in organizing, planning, and implementing urban housing initiatives. This model not only addressed housing deficits but also fostered community resilience and inclusivity. By demonstrating how grassroots organizations can drive urban transformation, this research underscores the potential of participatory practices in advancing spatial justice and the right to the city. The Diadema case offers valuable insights for cities facing similar challenges, advocating for equitable and democratic urban development strategies. Full article