华东师范大学学报(哲学社会科学版) ›› 2024, Vol. 56 ›› Issue (4): 84-94.doi: 10.16382/j.cnki.1000-5579.2024.04.008

• 不确定性与社会学的知识应对 • 上一篇    下一篇

从专业确信到模糊生成:面向不确定性的社会工作知识生产及其反思

文军, 方淑敏   

  • 接受日期:2024-06-27 出版日期:2024-07-15 发布日期:2024-07-25
  • 作者简介:文 军,华东师范大学中国现代城市研究中心暨社会发展学院教授,贵州大学贵州基层社会治理创新高端智库特邀研究员,上海市“中国特色的转型社会学研究”社会科学创新研究基地首席专家(上海,200241)|方淑敏,华东师范大学社会发展学院博士研究生
  • 基金资助:
    国家社科基金重大项目“新形势下我国社会发展面临的不确定性及其应对机制研究”(项目编号:22&ZD183)和国家社科基金重点项目“不确定性研究的社会学转向及其体系建构”(项目编号:22ASH002)。

From Professional Certainty to Fuzzy Generation:Uncertainty-oriented Social Work Knowledge Production and its Reflection

Jun Wen, Shumin Fang   

  • Accepted:2024-06-27 Online:2024-07-15 Published:2024-07-25

摘要:

“不确定性”作为现代社会发展结构性力量和具象化体验,深刻影响着社会工作理论与实践发展进程,促使社会工作知识生产范式实现了从专业确信到模糊生成的阶段转变。这一不确定性转变体现在知识基础、研究范式、生产主体、生产场域、知识结构和知识特性等若干方面。对此,需要以承认不确定性为认知基点,构建以整体表征为知识视角、以复杂叙事为研究范式、以主体赋能为价值指向、以情境实践为行动配置、以多维整合为网络型构、以视域反思为理论内涵的不确定性社会工作知识体系,进而在此基础上实现社会工作知识范式的深层次革新与多样化发展。

关键词: 社会工作, 不确定性, 知识生产, 专业确信, 模糊生成

Abstract:

Uncertainty, as a structural force and embodied experience of modern social development, has profoundly affected the development of social work theory and practice, prompting the paradigm of social work knowledge production to transform from professional certainty to fuzzy generation. This uncertainty is reflected in several aspects such as knowledge foundation, research paradigm, production subject, production field, knowledge structure and knowledge characteristics. In this regard, it is necessary to recognize uncertainty as theoretical foundation, construct a social work knowledge system of uncertainty with the knowledge perspective of holistic representation, the research paradigm of complex narrative, the value purpose of subject empowerment, the action configuration of situational practice, the network configuration of integrative orientation, and the theoretical connotation of reflective perspective, and consequently realize the deep innovation and diversified development of the knowledge paradigm of social work.

Key words: social work, uncertainty, knowledge production, professional certainty, fuzzy generation