政策注意力体现政府在科技创新人才体系构建中的政策导向与工作重点，政策整合是破解科技创新人才政策中各类碎片化问题的有效途径。通过Python编程，利用LDA主题模型和社会网络分析法，基于1985—2023年645份中央科技创新人才政策文本，探讨政策注意力演变情况与整合转型逻辑。从注意力演变阶段看，科技创新人才政策经历了改革探索期、战略部署期、全面发展期与创新驱动期；从注意力配置焦点特征看，国家科技战略定位贯穿始终，科技与经济深度融合是科技创新人才政策转型发展的根本动力；从整合转型逻辑看，科技创新人才政策是自上而下推进的系统工程，围绕政策协同整合和政策实体整合演进。未来应促进科技创新人才政策与多元化创新政策相耦合，构建系统性、开放性与协同性的人才发展框架，培育发展新质生产力的新动能。

The focus of government policy mirrors the strategic direction and key priorities in establishing a talent framework for scientific and technological innovation. Policy integration is a potent strategy for tackling the fragmentation that often plagues innovation talent policies. As China stands at a critical juncture for high-quality development propelled by scientific and technological innovation, where new quality productive forces,which are highly reliant on technological advancements, necessitate a commensurate human resource reserve and sustained talent supply. Consequently, the emergence of new quality productive forces imposes even higher demands on talent's innovative capacity. Given the national strategic orientation towards fostering new quality productive forces, policies related to these talents have garnered significant attention. Current research predominantly focuses on qualitative descriptions, characteristic profiles, and content evaluations of such policies. Against the backdrop of China's complex and profound social transformation and arduous reform and development tasks, fragmented governance and one-dimensional policy tools have proven inadequate in addressing increasingly sophisticated policy challenges.Policy integration, a systematic concept advocating collaboration among government departments, originates from Western theories but resonates with China's advocacy of 'overall planning and consideration.' Tracing the evolution of China's policies for scientific and technological innovation talents and clarifying the focus of policy attention at different stages can provide valuable feedback for subsequent policy formulation and implementation by government departments. Invoking government attention theory and policy integration theory can facilitate the overall planning of policies for scientific and technological innovation talents, enhance governance effectiveness, and provide the core impetus for the development of new quality productive forces.
By employing Python-based LDA topic modeling and social network analysis, this study explores the attention allocation patterns and integration transformation logic of 645 central policies on scientific and technological innovation talent from 1985 to 2023. From the perspective of the evolution of attention stages, policies for scientific and technological innovation talents have undergone a reform exploration period, a strategic deployment period, a comprehensive development period, and an innovation-driven period, with distinct emphases in attention allocation that overall tend towards three-dimensional development. From the perspective of the characteristics of attention allocation focus, the national strategic positioning of science and technology permeates throughout the entire process, and the deep integration of science and technology with the economy serves as the fundamental driving force for the transformation and development of policies for scientific and technological innovation talents. From the perspective of integration and transformation logic, policies for scientific and technological innovation talents constitute a top-down systematic project, evolving around both departmental integration and entity integration.
The research implications are as follows: Firstly, introduce a policy iteration mechanism to construct a dynamically adjusted ecosystem for the development of scientific and technological innovation talents. Secondly, strengthen national strategic guidance to facilitate the effective integration of the scientific and technological innovation chain with the talent cultivation chain. Thirdly, adopt policy integration as the governance approach to improve the overall framework of policies for scientific and technological innovation talents. In the future, efforts should be made to integrate policies targeting scientific and technological innovation talent with diverse innovation policies, thereby constructing a systematic, open, and collaborative framework for talent development aimed at nurturing new drivers of new quality productive forces. This study integrates the theories of policy attention and policy integration, with a focus on the cutting-edge issue of scientific and technological talent development amidst the emergence of new quality productive forces. It analyzes the evolution and transformation logic of central government policies on scientific and technological talent development using an integrated analytical framework, echoing the governance reforms oriented by the 'panoramic comprehensive rationality' in recent years. The theoretical significance of this research lies in enriching the single perspective of the theory of policy attention and expanding its application scenarios within the Chinese institutional context. The research findings contribute to a comprehensive understanding of China's experiences and lessons learned in building the scientific and technological talent system, thereby providing insights for accelerating the construction of a talent system suitable for the development of new quality productive forces.