Search Results (855)

Claude de Visdelou, a French Jesuit missionary who arrived in China in the 17th century, was renowned for his remarkable linguistic talent and profound knowledge of Sinology. He left behind numerous Latin translations of Chinese classics, many of which were preserved in manuscript form and are currently held in Biblioteca Apostolica Vaticana. Based on an examination of Visdelou’s life and his Latin translations of Confucian documents, such as Daxue, this paper aims to analyze the complex reasons why Visdelou openly opposed the Jesuit policy of tolerance toward Chinese rituals and was promoted by the Roman Curia for his opposition to the Jesuit’s approach. The paper also reflects on his translation activities as a personal intellectual struggle and as a means of cross-cultural knowledge construction from the perspective of Sino-Western cultural exchange history. Full article

Globally, the effects of widowhood on the welfare, health, financial security and education of the widow’s children in many contexts have been the subject of much research. This paper aims to uncover the nexus among culture, gender and language on widowhood dignity and welfare among four chosen African ethnic groups in South Africa and Zimbabwe. The widowhood phenomenon is culture-bound and value-laden as it signposts the reality of existence in the linguistic and cultural contexts in which it is created and operationalised. Through Kimberlé Crenshaw’s 1989 intersectional theory, this paper provides an in-depth, inductive qualitative investigation of the implications of culture, gender, language, and especially the nomenclature that African communities ascribe to the widowed, which in turn stigmatises widowhood. Two (2) South African and two (2) Zimbabwean ethnic groups were purposefully chosen for the multiple case study approach. Grounded theory is the coding framework and analysis technique. The coding starts off with picking key words, phrases and sentences and axial coding which is a higher level in which related data are grouped into sub-themes, themes and global themes. The search revealed that widowhood language, culture and nomenclature denote gendered, culturally contested spaces in which the widowed women especially face dehumanising and dewomanising rituals. The results gathered fall into five broad categories, namely, sexualised widowhood mourning rituals, psychological and emotional widowhood torture rituals, ritualised widowhood dispossession, swearing, movement and space restriction widowhood rituals. The rituals affirm the ascribed socially depressed widowed status implied in the stigmatising nomenclature. The paper recommends redefining widowhood in terms of humanising and womanising language, cultural rituals and nomenclature in the context of equality before the law. Such a move prevents discrimination against the widowed that unintentionally violates their constitutionally espoused right to equality. Full article

Background/Objectives: The Black Caribbean population of Honduras, also referred to locally as Negro Inglés, constitutes one of the country’s nine recognized indigenous and Afro-descendant peoples. Predominantly settled in the Bay Islands and sections of the Caribbean coast, this community traces its ancestry predominantly to West Africa and has remained culturally and linguistically distinct for more than three centuries. Despite its demographic and historical relevance, no population-specific short tandem repeat (STR) database has been established for this group. Methods: Allele frequencies for 23 autosomal STR loci were characterized in 100 unrelated Black Caribbean individuals from the department of Islas de la Bahía. DNA was extracted from blood on FTA cards and amplified with the PowerPlex Fusion 6C System (Promega Corporation). Statistical parameters were computed using Genepop v4.2, Arlequin v3.5 and GDA v1.0. Results: A total of 241 distinct alleles were detected across all 23 loci (mean 10.48 ± 3.85 alleles/locus). Expected heterozygosity ranged from 0.6541 (D13S317) to 0.9350 (SE33), with a mean of 0.8150 ± 0.0664—values consistent with a population of predominantly West African origin. No locus exhibited a significant departure from Hardy–Weinberg equilibrium after Bonferroni correction (α = 0.0022). The combined power of discrimination exceeded 99.9999% and the combined chance of exclusion surpassed 99.9999%. Conclusions: This first genetic characterization of the Honduran Black Caribbean population delivers an essential, population-specific reference dataset for forensic casework, paternity testing, and population genetics research. The data also deepen the understanding of Afro-descendant genetic diversity in Central America and constitute a critical step towards equitable forensic genetic services for all Honduran ethnic communities. Full article

Background: Sexual health research with migrant and refugee communities presents unique challenges, shaped by cultural sensitivities, stigma, and the under-representation of these populations in health research. However, lived experiences insights are essential for the development of appropriate and useful research and health initiatives. It is important to learn from researchers’ experiences to expand the representation of migrant and refugee community voices. Method: This paper draws on two qualitative studies conducted in South Australia: one exploring the sexual and reproductive health perspectives of refugee and migrant women, and the other of men. We reflect upon the methodological and ethical considerations in conducting research in this sensitive field and provide recommendations for future researchers and healthcare providers when working with migrant and refugee communities. Results: Both studies encountered difficulties in relation to participant recruitment, cross-cultural communication, and addressing taboos surrounding sexual health. At the same time, they highlighted opportunities for generating meaningful insights through culturally safe, gender-sensitive approaches and collaboration with community stakeholders. Conclusions: By synthesising experiences from both projects, we identify practical strategies for building trust, overcoming linguistic and cultural barriers, and creating supportive environments for discussing sensitive topics. These reflections offer guidance for researchers and clinicians aiming to advance culturally responsive sexual health research and strengthen healthcare provision for migrant and refugee populations. Full article

Background/Objectives: Communication decline is a hallmark of dementia, yet speech-language outcomes remain marginal in much of the virtual reality (VR) dementia literature. This evidence review synthesises empirical work on how VR has been used to support, train, or assess communication in dementia, positioning VR as a communication platform rather than only a cognitive tool. Methods: A structured search (2000–2025) across CINAHL, PubMed, PsycINFO, Scopus, and Web of Science was supplemented by reference list checking. Eleven empirical studies met eligibility criteria, spanning immersive and non-immersive VR used with people living with dementia, and VR-based communication training for caregivers, care staff, and clinicians. Findings were synthesised thematically through an explicit communication lens. Results: Evidence most consistently supports VR as a scaffold for communicative engagement and participation. Immersive and shared VR experiences commonly elicited increased verbal involvement, shared attention, and interactional responsiveness during or immediately after sessions, particularly when content was socially meaningful and appropriately paced. A second strand of work uses VR simulation to train communication partners, with participants reporting high acceptability and perceived improvements in confidence and strategy use, although behavioural transfer to real-world care is rarely measured. Assessment-oriented studies and stakeholder perspectives highlight VR’s potential to elicit functional behaviour in context and to complement clinic-based assessment, but communication validity is typically inferred rather than operationalised using standardised measures. Conclusions: VR shows early promise for dementia communication care, especially as an adjunct that structures interaction, supports participation, and scales communication training. Progress now depends on communication-specific intervention design, agreed outcome metrics capturing discourse and functional participation, and implementation studies addressing accessibility, cultural-linguistic diversity, and transfer to everyday care. Full article

This study investigates the role of naming practices as cultural repositories that preserve family, lineage, and community identity. It explores how anthroponymy encodes histories of ancestry, migration, settlement, and sociopolitical organisation in two West African societies, Dàgáárè-speaking communities and Yorùbá communities. Adopting a comparative onomastic ethnographic approach, this research analyses names among the two selected cultures. Data is drawn from interviews, school registers, attendance sheets, and cultural practices, with emphasis on how names record genealogical descent, settlement histories, occupational roles, spiritual affiliations, and ethical expectations. In Dàgáárè and Yorùbá culture, bal/baloo yoe (clan names) and lineage names identify descent from founding ancestors, document migration and settlement, mark ritual responsibilities, memorialise historical events, and regulate kinship and marriage through totemic and spiritual identities. This study argues that names in Dàgáárè- and Yorùbá-speaking societies operate as cultural texts that preserve and transmit heritage across generations. The significant implications extend to linguistics, anthropology, and heritage studies, where names can be leveraged as tools for cultural preservation and historical analysis. Full article

Rural heritage villages in China face compounding pressures from heritagisation policies, tourism marketisation, and digital platform logics, which together threaten the cultural integrity of lineage-based communities. While existing scholarship has shifted from treating authenticity as a fixed property to viewing it as a negotiated construct, a critical gap persists: the literature does not explain how local actors operationally manage the simultaneous demands of external governance compliance and internal cultural continuity. Drawing on multi-sited ethnography conducted across ritual spaces, tourism settings, and digital platforms in Huizhou lineage villages (March–August 2025)—including over 30 h of in-depth interviews with 18 cultural practitioners and two years of online community ethnography (2023–2025) within Huizhou traditional village cultural liaison groups—this study examines the micro-level strategies through which communities respond to Authorized Heritage Discourse (AHD). The study introduces the concept of Versioned Governance: a community-enacted mechanism through which cultural authenticity is strategically differentiated into ritual, performative, and pedagogical versions. Through spatial partitioning, temporal staggering, and linguistic encoding, lineage groups create cultural buffer zones that mediate between sacred practice and public display without compromising ethical coherence. This framework reframes authenticity not as an essential property nor as mere negotiated perception, but as a processual and political achievement—continuously produced through the interplay of structural discipline and local agency. The findings contribute to critical heritage studies and offer practical implications for cultural land-use and heritage governance policy in non-Western rural contexts. Full article

Empathy—the ability to understand and respond to others’ emotions and perspectives—is a key communication skill for humans; however, it is under-explored within current conversational systems. While large language models (LLMs) have demonstrated a remarkable capability to generate coherent and contextually relevant output, they often struggle to exhibit genuine empathy, resulting in artificial and dull responses, particularly in low-resource languages such as Arabic. Notably, the research on empathetic conversational systems in Arabic is still in its early stages, mainly due to the scarcity of open-domain conversational data. To address this gap, we introduce Arabic Empathetic Conversations (AEConvs), a genuine Arabic conversational dataset featuring more than 4K open-domain dyadic empathetic conversations. This dataset provides a valuable resource that captures nuanced emotional and empathetic cues in the Arabic language. Using AEConvs, we evaluate and compare the empathetic capabilities of two state-of-the-art generative Arabic LLMs—AceGPT-chat and Jais-chat—under zero-shot and fine-tuning training settings. Human evaluation results demonstrate that while both models exhibit some form of empathy in zero-shot settings, fine-tuning on AEConvs improved their ability to generate more fine-grained empathetic responses while also yielding enhancements in fluency and context adherence. Additionally, automatic evaluation indicated improved language modeling and better lexical and semantic similarity with human reference responses. This study highlights the importance of culturally and linguistically tailored datasets in advancing empathetic conversational AI. We publicly release the AEConvs dataset, providing a valuable resource for future advancements in the field. Full article

Contemporary Music Information Retrieval (MIR) and Natural Language Processing (NLP) systems are increasingly applied to diverse musical traditions, yet they are largely grounded in Western musical and linguistic assumptions. This study examines whether commonly used MIR features and multilingual NLP models adequately represent the acoustic, linguistic, and cultural structures of Maskandi music in comparison to Western music and identifies where representational gaps and biases arise. A multidimensional framework was employed, comprising acoustic and structural MIR analysis, linguistic and semantic lyrical analysis, and bias analysis. A curated dataset of 60 recordings and corresponding lyrics was analysed using rhythm and beat features, pitch contour measures, structural self-similarity, timbre embeddings, semantic similarity, lexical diversity, metaphor density, topic modelling, multilingual embeddings, and dataset-level audits. The results reveal systematic representational failures: beat tracking showed lower median IOI coefficient of variation for Maskandi (0.028) versus Western music (0.040, p = 0.0199) yet exhibited greater algorithmic instability, tempo averaged 131.16 BPM versus 111.69 BPM (p = 0.000262), pitch glide proportions were significantly higher in Maskandi (0.34 vs. 0.16), on-beat energy ratios differed substantially (2.26 vs. 1.19, p < 0.0000007), semantic similarity revealed high intra-genre coherence for Maskandi (0.73) versus Western (0.25), metaphor density approached zero in Maskandi versus up to 7 per 100 words in Western lyrics, topic modeling produced two compact clusters for Maskandi versus 6 dispersed clusters for Western, timbre embeddings achieved a 0.405 silhouette score, dataset audits revealed 0% Maskandi representation across seven major MIR corpora with African traditions comprising <3%. The study concludes that statistical separability does not imply representational adequacy and highlights the need for culturally grounded MIR and NLP representations to support diverse musical traditions. Full article

The paper examines the poetics of graphomania as a productive aesthetic device within the Russian literary tradition, focusing primarily on Velimir Khlebnikov and extending the analysis to figures such as Fedor Dostoevsky’s Captain Lebyadkin and real authors such as Eduard Limonov, Dmitrii Prigov, and Sasha Sokolov. Building on the article’s central insight that Khlebnikov’s “bad writing,” stylistic shifts, and violations of canonical norms constitute not a defect but a sui generis artistic strategy, the study situates these techniques within broader historical and theoretical frameworks, including the Formalist concepts of parody, junior branch, and heteroglossic subcodes of poetic culture. The article traces the way Khlebnikov’s dynamic alternation of heterogeneous linguistic, prosodic, and generic registers produces a complex, unstable but grandstanding authorial “I” aligned with the traditional figure of the poet-as-character and the culturally embedded myth of the Poet–Tsar. Furthermore, it maps a genealogy of “graphomaniac” writing from the avant-garde to postmodernism, demonstrating how later authors transform Khlebnikov’s innovations—alternately amplifying, parodying, or ironizing them. Through close readings and extensive intertextual contextualization, the article argues that graphomania functions as a critical mechanism for destabilizing aesthetic orthodoxies, exposing, performing and producing literary authority, and redefining the boundaries between norm and deviation, author and character, poetic freedom and canonical constraint. Full article

The increasing integration of Generative AI (GenAI) into higher education, particularly in the domain of language teaching, presents both opportunities and challenges. While AI-powered tools such as ChatGPT-5 can support language learning by generating personalised content which enables real-time interaction and feedback, they also risk perpetuating biases embedded in training data. These biases can appear in linguistic, cultural or socio-political forms, reinforcing stereotypes and influencing language norms. Therefore, equipping students and educators with strategies to critically assess AI outputs is essential for ethical and responsible AI use in language education. While recent research highlights the risks of algorithmic bias, less attention has been given to the perceptions and attitudes of pre-service teachers, whose future practice will shape classroom uses of these technologies. This exploratory pilot study adopts a survey-based approach to examine pre-service teachers’ baseline awareness of bias in artificial intelligence, with particular attention to linguistic and cultural dimensions Data were collected through an online questionnaire administered to 65 undergraduate students enrolled in Primary Education degree programmes. The study documents baseline perceptions prior to any instructional intervention and provides preliminary empirical evidence to inform the future design of pedagogical strategies aimed at developing critical AI literacy in teacher education. Full article

Background: Engaging diverse populations, including Muslims, in research activities is important to support patient-centered research and improve health equity. Objectives: The research aimed to describe the community engagement steps that informed conducting research with five distinctively diverse U.S. Muslim communities. Methods: This work provides methodological reflections on engaging diverse Muslim communities in the U.S. Researchers built trust-based partnerships with community healthcare organizations and engaged with administrative leaders, advisory members, and people from five diverse communities. Strategies to support sampling, recruitment, multi-language interpretation methods, and how to engage communities and address their concerns are discussed. Results: A total of 22 participants were included in the original study. The research team successfully engaged five of the six planned communities, utilizing multiple interpretation methods and participating in community events to support recruitment and relationship-building. Direct-to-participant recruitment efforts were strengthened by personal connections with trusted community members. Conclusions: Flexibility and adaptability are integral in recruitment and data collection, as diverse communities may respond differently to methods successfully used elsewhere. Attention to gender-related cultural norms, the inclusion of language-concordant researchers, and respect for communities’ autonomy in deciding whether and how to participate collectively contributed to more effective and culturally grounded engagement with Muslim communities. Full article

This study investigates Estonian home language (HL) teachers’ perceptions of caregivers’ language beliefs and the factors contributing to low participation in HL classes among Estonian-speaking students in Finland. Data were collected through semi-structured thematic interviews with nine qualified HL teachers, whose extensive experience provided insights into a broad and diverse population of diaspora families, including those with limited motivation for HL learning. Content analysis, guided by Spolsky’s family language policy FLP model and Epstein’s framework of family–school–community involvement, revealed that caregivers typically value HL as a symbolic link to family and cultural heritage but often assume that oral communication at home is sufficient for children’s linguistic development. Teachers reported that caregivers generally support multilingualism yet underestimate the need for structured HL instruction. Low attendance of HL classes was attributed to a combination of family-, child-, and school-related factors: permissive parenting, limited language awareness, identity issues, scheduling conflicts, long school days, fatigue, and constraints within school timetables and institutional structures. A marked discrepancy was identified between teachers’ perceptions of attendance and official statistics, indicating that teachers predominantly interact with families that are already motivated and tend to overestimate the participation activity. The findings highlight the complexity of FLP in diaspora contexts and the importance of strengthening school–family communication and institutional support for HL education. Implications for policy, teacher education, and future research on low-motivation families are discussed. Full article

Underrepresented languages such as Lingala are a significant part of the world’s cultural and linguistic heritage. Lingala plays a central role in daily communication, business, media, education, and culture for millions of people in the Democratic Republic of Congo (DRC) and the Republic of Congo. However, due to data scarcity and dialectal diversity, natural language processing (NLP) research often overlooks this language. In this paper, we propose a deep neural network pipeline for bidirectional French–Lingala automatic translation, covering both text-to-text and voice-to-text scenarios, by integrating Long Short-Term Memory (LSTM) and Transformer models on a specialized parallel corpus. The Bidirectional Encoder Representations from Transformers (BERT) model is used as a bidirectional source encoder to improve contextual representation, while the Whisper model handles automatic speech recognition as the first stage of the audio translation pipeline. Experimental results show that the standalone Transformer achieves a BLEU score of 35.3, compared to 8.12 for the LSTM SeqToSeq baseline. Fine-tuning with BERT raises the BLEU score to 38.6. Integrating the Whisper ASR module for an end-to-end speech translation task yields a final pipeline BLEU score of 55.4, with a Word Error Rate of 12.3% on the speech recognition sub-task, confirming the effectiveness of each component. These results demonstrate the potential of combining domain-specific pre-trained models with modular neural architectures to achieve competitive translation performance in a critically under-resourced language. Full article

Objective: Anxiety symptoms frequently occur alongside mood disorders and are associated with poorer clinical outcomes, highlighting the importance of early and accurate detection. This study evaluated the diagnostic accuracy and psychometric properties of the Anxious Distress Assessment Scale (ADS), a newly developed brief self-report instrument designed to detect anxious distress. Method: The study was conducted in two phases. Phase 1 involved the development of the ADS as a five-item instrument reflecting the DSM-5-TR anxious distress criteria. In Phase 2, 105 adults diagnosed with major depressive disorder (MDD) completed the ADS alongside the Generalized Anxiety Disorder-7 (GAD-7) and the Montgomery–Åsberg Depression Rating Scale (MADRS). Psychometric evaluation included internal consistency reliability (Cronbach’s α), analyses of convergent validity, and diagnostic accuracy assessment using correlation and receiver operating characteristic (ROC) analyses. Results: Anxious distress was highly prevalent, with 71% of participants meeting DSM-5-TR criteria. The ADS demonstrated strong diagnostic performance, with sensitivity of 88.0%, specificity of 90.0%, positive predictive value of 95.7%, and negative predictive value of 75.0%. ROC analysis yielded an area under the curve (AUC) of 0.97 (95% CI: 0.943–0.997), with an optimal cut-off score of ≥10. Internal consistency was excellent (Cronbach’s α = 0.897). Principal component analysis supported a unidimensional structure, accounting for 71.5% of the total variance, with all items loading above 0.80. The ADS also demonstrated strong convergent validity, correlating significantly with the GAD-7 (r = 0.82) and MADRS (r = 0.68). Conclusions: The ADS demonstrates promising psychometric properties, including strong reliability, meaningful convergent validity, and excellent diagnostic accuracy. Its brief format and direct alignment with DSM-5-TR anxious distress criteria support its potential utility as a practical screening tool in clinical settings. However, these findings should be interpreted in light of the study’s focus on English-speaking Malaysian adults with MDD recruited from a tertiary-care setting. Further validation across diagnostic groups, clinical contexts, and cultural and linguistic populations is warranted. Full article