http://hdl.handle.net/10071/1554 Mon, 25 May 2026 20:03:59 GMT 2026-05-25T20:03:59Z https://repositorio.iscte-iul.pt:443/retrieve/146d015f-a95d-451e-9228-496f6eb9ed98/rgb_cei_abbreviation_positive.png http://hdl.handle.net/10071/1554 http://hdl.handle.net/10071/37356 Título próprio: The two-pillar squeeze: Media pluralism and anti-gender politics in illiberal rights governance in Hungary Autoria: Ferreira Dias, J. Resumo: This article develops a mechanism-based account of illiberal rights governance through what I call the “two-pillar squeeze.” In contemporary culture-war contexts, fundamental rights are pressured not only through explicit legal restrictions, but also through changes in the institutional conditions that make rights effective. The first pillar targets the legal primacy of freedom of expression and the right to seek, receive, and impart information, weakening access to public information, media independence, and the practical capacity of journalism and civil society to operate as watchdogs. The second pillar weaponizes anti-gender politics—often framed as “child protection” or public morality—to justify regulatory and administrative measures that narrow autonomy, privacy, equality, and non-discrimination while expanding discretionary power. Using Hungary as a critical case, the article shows how these pillars can reinforce each other: a degraded informational environment blunts scrutiny and accountability, enabling moralized regulation, which in turn legitimates broader interventions in the public sphere. Methodologically, it combines reflexive political science with legal analysis, tracing these dynamics in constitutional amendments, statutes, administrative practices, litigation, and European enforcement and compliance pressures. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/10071/37356 2026-01-01T00:00:00Z http://hdl.handle.net/10071/37355 Título próprio: The conservation metadata gap: Why AI classification is a symptom, not a solution Autoria: McCarthy, C.; Sternberg, T.; Brooks, C. Resumo: Conservation science needs structured metadata captured at submission, not reconstructed afterward by artificial intelligence (AI). Each year, thousands of studies are published that could inform decisions under the United Nations Sustainable Development Goals (SDGs), the Kunming–Montreal Global Biodiversity Framework, the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR), and National Biodiversity Strategies and Action Plans (NBSAPs). Authors know their study species, locations, methods, and often their work’s policy relevance, yet this information remains buried in article text rather than searchable metadata. While AI classification tools accelerate evidence synthesis compared to manual efforts, they attempt to extract this information post-publication, turning a simple data entry task into a complex natural language processing challenge. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/10071/37355 2026-01-01T00:00:00Z http://hdl.handle.net/10071/37353 Título próprio: AI-assisted multi-target classification for research-policy alignment in conservation science Autoria: McCarthy, C.; Brooks, C.; Sternberg, T.; Shaney, K.; Hoshino, B. Resumo: Scientific research underpins effective conservation policy, yet current approaches for assessing whether scientific outputs meaningfully support defined management objectives rely primarily on manual expert review. This limitation constrains scalability, is time intensive and introduces potential bias in identifying knowledge gaps. We present a framework combining AI-assisted multi-target classification with systematic coverage analysis for automated evaluation of research alignment with conservation objectives. We compare traditional machine learning (TF-IDF + logistic regression), a generic BERT baseline, and an enhanced SciBERT approach incorporating domain-specific adaptations including multi-target architecture, balanced loss functions, and target weighting optimized for conservation science. The framework classifies research topics and conservation objective alignment, two dimensions requiring comprehension of scientific content and policy implications. We demonstrate the approach using 295 expert-annotated peer-reviewed studies from the Ross Sea region Marine Protected Area in Antarctica. Our enhanced multi-target SciBERT model achieved 70.0% macro F1, outperforming TF-IDF (59.5%) and BERT (52.0%) baselines, with per-target improvements of 21% on research topics and 14.5% on conservation objectives. The framework achieved 78% agreement with expert annotations, with particularly strong performance on conservation objective alignment (87.7% F1, 94% agreement). The integrated system successfully identified and quantified descriptive patterns in research coverage across thematic and policy dimensions, enabling systematic assessment for research prioritization and automated coverage analysis. While demonstrated in the Antarctic context, the framework architecture is broadly transferable, though successful adaptation requires retraining with domain-specific expert annotations and fine-tuning to match local management frameworks. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/10071/37353 2026-01-01T00:00:00Z http://hdl.handle.net/10071/37299 Título próprio: Prisioneiros de guerra e da guerra Autoria: Rocha, J. S. Editor: Oliveira, Pedro Aires; Borges, João Vieira Resumo: A história dos prisioneiros das guerras do crepúsculo do Império português (1961 -1974) insere -se no contexto mais alargado das mudanças ocorridas no modo de fazer a guerra e do direito humanitário após a Segunda Guerra Mundial. A Segunda Guerra Mundial marcou, sem dúvida, o fim de um mundo dominado pelas potências europeias, muitas delas detentoras de domínios coloniais. Com ela terminou também um período da história dos conflitos armados marcado pela adoção de um conceito de guerra que apenas previa o confronto bélico entre exércitos organizados e patrocinados por Estados, com práticas pouco respeitadoras da justa e necessária separação entre militares armados e populações civis desarmadas, e em que as baixas civis eram consideradas meros danos colaterais no campo de batalha. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/10071/37299 2024-01-01T00:00:00Z