自我,启示和积极行动在塑造个人职业生涯中的相互作用
Rafael A Bittencourt1,2, H B de B Pereira1,3, M A Moret1,3
1Centro Universitário SENAI-Cimatec, Salvador, 41650-010 Bahia, Brazil.
Physical review. E
|September 19, 2023
概括
这项研究使用格子来模拟社会流动性,显示随机选择和诸如启示之类的外部事件显著影响社会阶级之间的向上流动性.
科学领域:
- 社会经济建模的社会经济建模.
- 随机过程是指随机的过程.
- 社会流动性的动态 社会流动性的动态
背景情况:
- 个人社会职业生涯可以被建模为在分叉点上的选择轨迹.
- 内生特征影响选择,模拟为随机二项式分布.
- 社会进步往往是一个分散的随机过程.
研究的目的:
- 为了模拟个人的社会职业发展.
- 研究个人选择和外部影响对社会流动性的影响.
- 分析启示和积极行动在社会进步中的作用.
主要方法:
- 在六角格子上的有限尺寸轨迹模型.
- 随机的过程分析随机的进展通过分叉.
- 包括外部影响 (启示) 和肯定行动 (量子飞跃).
主要成果:
- 个人社会进步被发现是一种扩散性随机过程.
- 在不同社会阶层开始的人群中观察到重叠的进步.
- 启示和量子飞跃显著促进社会上升流动性.
结论:
- 外部影响和独特的机会对于社会流动性至关重要.
- 该模型强调了通过"启示"和"量子飞跃"显著向上流动的潜力.
- 教育和积极行动可以作为社会进步的集体或个人催化剂.
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