This study employs the Chinese large language model ChatGLM and the American large language model GPT4o as research tools to examine differences between the concepts of  "topnotch innovative talents" in China and "honors students" in the United States. In the dimensions of goals and value orientation, China focuses on social development and national strategic needs, while the United States tends to concentrate on individual outstanding traits and personal values. At the selection mechanism level, China emphasizes precise matching selection logic, while the United States advocates diverse and inclusive multipath choices. In the design of the training process, China leans more towards rigid structure, while the United States showcases its individualized logic. In terms of benefit evaluation, China emphasizes policy guarantee functions, while the United States focuses on abilitydriven market value. The generated contents generally reflect the understanding of elite talents in both countries and the associated cultural and institutional differences. Comparing the advantages and disadvantages of the institutional designs for topnotch innovative talents in China and the United States can help China learn from the strengths of others and further improve the relevant systems: Construct a talent cultivation pattern that combines national coordination with university autonomy, and complements unified norms with diverse explorations; Broaden the connotation, extension and coverage of topnotch innovative talents, and extend the cultivation of topnotch innovative talents to all undergraduate majors in universities; Continuously deepen the reform of university talent cultivation systems, break down departmental barriers and resource divisions, and systematically build a diversified and individualized talent cultivation system; Optimize the process evaluation system and the fullcycle cultivation mechanism, and establish and improve the regular, dynamic entry and exit mechanisms.

 From a policy diffusion theory perspective, this study employs a comprehensive quantitative analysis of 632 outstanding innovative talents policies issued by the Chinese government. It aims to elucidate the diffusion mechanism of China′s outstanding innovative talents policies and further optimize policy effectiveness. The study reveals that China′s top innovative talent policy diffusion exhibits a distinct "core-periphery" structure. The diffusion system of China′s top-tier innovative talent policies exhibits diverse characteristics: central government leadership, strategic drivers, and typology differentiation. Beyond top-down, bottom-up, peer-level, and follow-up diffusion models, China′s top-tier innovative talent policies exhibit a "vertical diffusion" pattern that transcends conventional understanding. From an implementation efficacy perspective, these policies are "substantive" in nature, characterized by high diffusion rates in the short term and sustained effectiveness over extended periods. To advance the overarching strategy of building a leading country in education, governments at all levels must further innovate policy delivery mechanisms, enhance central-local coordination frameworks, accelerate talent-related legislation, and focus on establishing a long-term mechanism for the sustained emergence of outstanding innovative talents.

In view of the common practical dilemmas faced by colleges and universities in the evaluation and rectification process, such as passive response, formalism, and fragmented rectification. Based on the theory of institutional complexity, this study conducts an indepth analysis of the underlying causes and operational mechanisms from three dimensions: institutional isomorphism pressure, institutional decoupling, and conflicts among multiple institutional logics. Adopting a systematic thinking approach, the rectification of undergraduate education teaching evaluation and rectification should restructure the incentive mechanism, promoting the transformation of the rectification process from "passive compliance" to "internal driving force"; Strengthen the closedloop supervision of the audits, facilitating the transformation of the rectification process from "strategic decoupling" to "substantive coupling"; Coordinate the governance of all elements to achieve the transformation of the rectification process from "fragmented patching" to "structural optimization".

From the dual perspective of historical institutionalism and resource dependence theory, four ideal types of higher education talent hub emerge: "top-down planning-academic," "top-down planning-applied," "multi-actor symbiosis-academic," and "multi-actor symbiosis-applied." Case studies of the Seoul metropolitan area, Guangdong-Hong Kong-Macao Greater Bay Area, Yangtze River Delta, and Tokyo innovation circle illustrate their characteristics and pathway features. While these hubs are profoundly shaped by national strategies and regional governance structures, their institutional evolution is characterized by incremental changes under path dependence, as well as strategic breakthroughs at critical junctures. In terms of resource allocation, they represent the strategic responses of higher education to different dominant forces. Considering this, in promoting the development of talent hubs and regional innovation systems in China, it is important to balance global educational principles with the needs of local practices. It is also crucial to strengthen institutional innovation capabilities and structural breakthroughs amid path dependence, while fully respecting regional development endowments and institutional traditions. Furthermore, collaborative governance should be implemented among multiple stakeholders and at different levels.

The "symbolization" of talent evaluation in universities has become a structural chronic problem that hinders talent development and scientific innovation. The crux of the issue lies in a fundamental institutional deviation: the logic of support is alienated into a logic of hierarchical screening; The contribution-based value benchmark is displaced by an interest-based benchmark of symbolic exchange; Temporal symbols are replicated trans-temporally as permanent prerequisites. Consequently, the ultimate goal of governing this "symbolization" is to systematically restructure the evaluation institutions—stripping talent titles of their undue resource-conversion functions, deeply disenchanting them, and deconstructing their symbolic hegemony to restore their original purpose: serving as recognition of honor and support for academic growth. This study constructs an analytical framework for the "symbolization" of talent evaluation in universities, aiming to dissect its realistic representations, generative logic, and mechanisms of action. Based on this analysis, it proposes a trinity of systematic governance pathways "power restructuring—mechanism empowerment—ecological optimization" to provide theoretical reference and policy insights for resolving the challenges of talent evaluation reform in universities and for cultivating an academic ecosystem conducive to dedicated research and original innovation, thereby driving a fundamental transformation from "symbol dependence" to a "value-oriented foundation".

Building a leading country in education is the core strategy of Chinese-style modernization. As the main channel for cultivating high-uality technical and skilled personnel, the reform of the vocational education system is an inevitable way to achieve it. Based on the three-dimensional logical framework of individual orientation, social orientation and system orientation, China′s current vocational education system faces multiple deep-seated dilemmas: at the individual level, there is a lack of choice and insufficient lifelong learning, reflected in restricted students′ right to choose, imperfect lifelong learning system and insufficient credibility of skill certification; at the social level, it is insufficiently adaptable to industries, manifested in lagging major settings, gaps between curriculum content and industrial technical standards, and unsound industry-education integration mechanism. China should strengthen its selective and adaptive internal reform, enhance demand-oriented and professional external coordination reform, reinforce integrated and cohesive coordinated reform, and establish a long-term mechanism to support the development of the support system.

In the social governance system where meritocracy has gained universal legitimacy, universities have generally adopted technocracy as a methodology to implement research performance management for teachers. Meritocracy provides the ideological foundation for technocracy, which is characterized by dual dimensions of "expert governance" and "quantitative management". In the research performance management of university teachers, technocracy has formed a two-dimensional dual effect: expert governance not only empowers professionalism but also leads to power monopoly; quantitative assessment not only improves efficiency but also causes value alienation. The pursuit of efficiency in technocracy has led to a disconnection between it and university research and innovation. The interweaving of expert preferences and administrative logic has made it difficult to achieve expert validity. The intervention of administrative logic has distorted and alienated expert governance and quantitative assessment. To transcend technocracy in university performance management, it is necessary to strengthen inter-subject communication to establish the value orientation of "new meritocracy", build a diversified and collaborative academic governance community to implement open peer review, and focus on "meaningful innovation" to construct an innovation-oriented performance evaluation system.

Guided by Rosa′s critical theory of social acceleration, we conducted indepth interviews with twentytwo junior academics to interrogate their desynchronized temporal struggles. The analysis identifies under the context of the accelerated era, the predicament of academic work for young university teachers presents a state of temporal alienation, spatial alienation, action alienation, evaluation index alienation, and alienation in peer relationships. The generation mechanism of academic work alienation follows the accelerated disciplinary mode of "macro cultural infiltration—meso institutional norms—micro selfsuggestion". By leveraging the normativity and enforceability of the time structure, it is ensured that the three acceleration dimensions are interconnected and autonomously cycle. In this regard, the construction of earlycareer academics  team in universities urgently needs to replace the alienated relationship with a resonant one, create a stable academic environment, optimize the organizational management system, and exert the individual′s inherent subjectivity, so as to achieve a dynamic balance between the subject′s needs and the environmental support.

This study employed the grounded theory method, conducting three rounds of in-depth interviews with 30 students who had received academic warnings with varying frequencies and 10 participants involved in their support education, including counselors, full-time mental health educators, and academic mentors. It systematically explored the internal formation mechanism of academic crisis among these students. The findings reveal that cognitive and motivational construction deviations are the core underlying causes of their academic crisis. The chain failure of behavioral adjustment systems, such as academic engagement strategies, serves as the direct cause plunging them into academic crisis.The vicious cycle within the psychological-emotional system acts as an accelerating factor, while the perceived breakdown and disconnection of social support systems function as a solidifying cause. Furthermore, the convergence and impact of multi-level stress systems—such as potential "tacit pressure" within families characterized by high expectations coupled with low communication, and institutional stressors from university warning systems that merely "notify" without providing matching, tailored support—may become the "last straw" that exacerbates cognitive rigidity, psychological breakdown, and behavioral avoidance among these students. Based on this, the study proposes collaborative governance countermeasures and suggestions: colleges and universities should leverage AI-enabled governance to transform from post-hoc warnings to process monitoring and precision support; By leveraging psychological empowerment upgrade from generalized tutoring to precise support for cognitive development; Through "one-stop" student community empowerment, building an immersive academic support ecosystem; And with empowerment of layered collaborative navigation, stimulate students′ sustainable endogenous power.

 Artificial intelligence technologies are driving the intelligent transformation of knowledge production, reshaping graduate education models through a new paradigm of human-AI co-creation. In this process, human intelligence and artificial intelligence jointly support the entire cycle of knowledge production, enabling leaps in knowledge creation through human-machine symbiosis and continuously empowering the transformation of knowledge into intelligence in applied contexts. However, the generative revolution in knowledge production has also brought value crises to graduate education, including the weakening of knowledge innovation subjectivity, the alienation of scientific research originality, and the intensification of global competition in the world of work. In response, graduate education models are increasingly integrating technologies such as large language models and educational agents to construct innovative mechanisms characterized by knowledge management as the foundation, interdisciplinary collaboration and teaching synergy as the support, and evaluation systems as the safeguard. In practice, it is imperative to embed the concept of responsible AI, expand intelligent integration fields across industry-academia-research collaboration, cultivate feasible competencies that adapt to the digital-intelligent transformation, and foster globally connected and shared open spaces to ensure the stable functioning of these innovative mechanisms in graduate education.