首页|"理想奔现"与"现实优化":博士生就业多元化源流分析

"理想奔现"与"现实优化":博士生就业多元化源流分析

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博士生就业多元化并非完全由就业市场需求所决定,入学初的多元职业意愿是就业多元化之源.在求学过程中,最初的职业意愿呈现出"理想奔现"和"现实优化"两类流变,最终只有1/5左右的博士生以学术职业为理想并成功奔现,但也有1/6左右的非学术职业理想博士生最终走上学术职业,与此同时非学术职业也存在类似的奔现和优化现象.通过人工神经网络特征识别技术及Logistic回归的稳健性检验,发现理想奔现群体固然根据自身情况做出职业规划并通过努力实现了目标,现实优化群体也并非被动的无奈选择,而是根据学习经历和自身优势做出了理性调整,博士生就业多元化在本质上是主动选择和适应行为而非完全的被动接受.因此,研究生教育应当秉持以学生为中心的原则,探索分类培养模式,帮助学生明确自身的比较优势,实现更优的人职匹配和更好的人力资源配置.
Ideals Realization and Reality Optimization:An Analysis on Origin and Evolution of Doctoral Students Employment Diversification
Diversification of doctoral students employment is not entirely determined by the demand of the job market,the real origin over the phenomena is diversified career intention.In the process of studying,the initial career intention evolved to two types:"ideals realization"and"reality optimization".Ultimately,only about one fifth of doctoral students pursue academic careers as their ideals and successfully realize it,meanwhile there are also about one sixth of doctoral students with non-academic career ideals eventually changed ideals and optimized to academic careers.At the same time,similar phenomena also occurred in non-academic careers market.Analyzing these phenomena by artificial neural network and testing the robustness via logistic regression,the study found that although the group of ideals realization made career plans based on their own situation and achieved their ideals through hard work,the group of reality optimization was not fall into passive and helpless choice,instead of making rational adjustment according to own advantages and learning situation.The doctoral students employment diversification is essentially an active choice and adaptive behavior rather than completely passive acceptance.Therefore,graduate school should adhere to the student-centered principle,explore classified teaching mode,and assist students to clarify comparative advantages,so achieving better job-matching and human resource allocation.

doctoral studentsdiversified career intentionemployment diversificationartificial neural network

黄维海、李树岳

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南京农业大学公共管理学院,江苏南京210095

学术型博士生 职业意愿多元化 就业多元化 人工神经网络

2024

中国高教研究
中国高等教育学会

中国高教研究

CSTPCDCSSCICHSSCD北大核心
影响因子:2.316
ISSN:1004-3667
年,卷(期):2024.(12)