发表机构
College of Hakka Studies, National United University（客家学院，国立联合大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一个连接算法文化边缘化、文化根基化与AI中介文化再中心化的框架，以台湾客家语为例，强调AI扩展访问须兼顾语言变异与社区权威，避免便利和标准化再现边缘化。
AI 中文摘要
随着大语言模型日益介入写作、翻译、信息检索和教育，一种语言可获得的技术支持可能影响其在当代社会生活中的地位。对于少数和弱势语言，这提出了双重问题：功能不足可能促使人们转向主流语言，而表面流畅的辅助可能使文化独特表达趋于同质化。这份概念性研究笔记开发了一个框架，将算法文化边缘化、文化根基化和AI中介的文化再中心化联系起来。算法文化边缘化描述了表征不对称、功能排斥、同质化转换和递归反馈之间的相互作用。文化根基化识别了资源、模型、服务和治理层面的干预措施。文化再中心化关注可及性、实际语言使用、公共可见性、参与以及新知识流通的变化。基于语言转移和语言技术的研究，本文以台湾客家语为例，提出了八项供后续实证研究的命题。其核心论点是，应同时评估AI扩展访问与语言变异和社区权威的保留。该框架区分了技术可用性与社会使用，以及事实准确性与文化保真度，而不假设AI能替代代际传承。它为研究少数语言AI是扩展有意义的使用领域，还是通过便利和标准化再现语言边缘化提供了基础。
英文摘要
As large language models increasingly mediate writing, translation, information retrieval, and education, the technological support available to a language may influence its position in contemporary social life. For minority and minoritized languages, this raises a dual problem: inadequate functionality can encourage movement toward dominant languages, while apparently fluent assistance can normalize culturally distinctive expression. This conceptual Research Note develops a framework connecting algorithmic cultural marginalization, cultural grounding, and AI-mediated cultural re-centering. Algorithmic cultural marginalization describes the interaction of representational asymmetry, functional exclusion, homogenizing transformation, and recursive feedback. Cultural grounding identifies interventions across resources, models, services, and governance. Cultural re-centering concerns changes in accessibility, actual language use, public visibility, participation, and the circulation of new knowledge. Drawing on research on language shift and language technologies, the paper uses Hakka in Taiwan as an illustrative case and develops eight propositions for subsequent empirical investigation. Its central argument is that expanded AI access should be assessed alongside the retention of linguistic variation and community authority. The framework distinguishes technological availability from social use, and factual accuracy from cultural fidelity, without assuming that AI can substitute for intergenerational transmission. It provides a basis for investigating whether minority-language AI expands meaningful domains of use or reproduces linguistic marginalization through convenience and standardization.
Comments16 pages, 1 figure, 1 table. Research Note. A version is forthcoming in the GHAS Newsletter, Consortium of Global Hakka Studies (GHAS)
