The volatility and uncertainty of the modern crisis make how community cadres manage crisis to become the focus of attention. Based on the results of exploratory factor analysis, Amos23.0 software was used to conduct second-order confirmatory factor analysis on sample data. This paper preliminaries established 28 competency elements of community emergency management talents by literature research and interview, and ranked them in the order of the weight of competency elements: Executive ability, communication and coordination ability, emergency handling ability, emergency laws and regulations, crisis awareness, responsibility, training and guidance, calm, affinity, insight. The competency model is applied to the recruitment, training, development and assessment of community emergency management talents, so as to improve the overall quality level of the community emergency management team and promote the high-quality development of emergency management.
Digital humanistic knowledge production emphasises the importance of a strong knowledge production community and differentiates from traditional knowledge production models, which include aspects such as online and cooperative knowledge development. The digital humanities knowledge production community model is already widely acknowledged. However, the features and characteristics of digital humanistic knowledge production under natural language processing are controversial. This research presents a wordVEA digital humanistic knowledge production feature mining approach based on a word2vec and variational self-encoder (VAE). The knowledge production characteristics of digital humanistic are primarily defined by the coexistence of a knowledge production structure and boundary blurring, as well as interdisciplinary collaboration thematic cohesiveness and broad horizon, as determined by the research results which effectively address the question of the characteristics of digital humanistic knowledge production through application of the word VAE method.
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