针对生物识别信息的刑法保护:现实境遇与完善路径——以四川“人脸识别案”为切入点

当前生物识别信息在我国社会中的运用呈现逐年递增的趋势.生物识别信息具备本体特殊性和社会特殊性,这决定了其具备与普通公民个人信息不同的重要性,应受到刑法的特殊保护,但我国既定刑事立法对生物识别信息并未进行任何形式的特殊保护.可运用实质解释的方法,在不违反罪刑法定原则的前提下,充分利用两高《解释》第5条中第1款第10项和第2款第4项这两个兜底条款,将"侵犯生物识别信息5条及以上"认定为"情节严重",将"侵犯生物识别信息50条及以上"认定为"情节特别严重",由此降低针对生物识别信息原本的入罪和法定刑升格的数量,最终实现对生物识别信息的特殊刑法保护.     

Checking validity of monotone domain mean estimators

Estimates of population characteristics such as domain means are often expected to follow monotonicity assumptions. Recently, a method to adaptively pool neighbouring domains was proposed, which ensures that the resulting domain mean estimates follow monotone constraints. The method leads to asymptotically valid estimation and inference, and can lead to substantial improvements in efficiency, in comparison with unconstrained domain estimators. However, assuming incorrect shape constraints may lead to biased estimators. Here, we develop the Cone Information Criterion for Survey Data as a diagnostic method to measure monotonicity departures on population domain means. We show that the criterion leads to a consistent methodology that makes an asymptotically correct decision choosing between unconstrained and constrained domain mean estimators. The Canadian Journal of Statistics 47: 315–331; 2019 © 2019 Statistical Society of Canada     

The effect of small sample on optimal designs for logistic regression models

Asymptotic methods are commonly used in statistical inference for unknown parameters in binary data models. These methods are based on large sample theory, a condition which may be in conflict with small sample size and hence leads to poor results in the optimal designs theory. In this paper, we apply the second order expansions of the maximum likelihood estimator and derive a matrix formula for the mean square error (MSE) to obtain more precise optimal designs based on the MSE. Numerical results indicate the new optimal designs are more efficient than the optimal designs based on the information matrix.     

基层公务员职业认同特征及其对工作绩效与离职倾向的影响研究

基层公务员的职业认同对公务员队伍建设和推进国家治理能力现代化有着重要的意义。本文通过对760名基层公务员的问卷调查发现：基层公务员职业认同包括职业行为投入、职业发展认同和职业价值认同三个维度，呈现出以价值认同为核心、行为投入为外层、发展认同居中的圈层结构；基层公务员职业认同接近较高水平，但职业发展认同较低；不同类型基层公务员职业认同呈现出一定差异，其中青年公务员的职业认同显著低于中老年公务员，低职级公务员较高职级公务员职业认同更低。进一步分析发现，基层公务员职业认同能正向预测工作绩效，职业认同能负向预测离职倾向。在此基础上，本研究提出提升基层公务员职业认同的相关对策建议。     

Understanding the Ecological Validity of Relying Practice as a Basis for Risk Identification

Understanding the reliability of hazardous organizations and their protective systems is central to understanding the risk they produce. Work on “high reliability organization” has done much to illuminate the conditions in which social organization becomes reliable in highly demanding conditions. But risk depends just as much on how relying entities do their relying as it does on the reliability of the entities they rely on. Patterns of relying are often opaque in sociotechnical systems, and processes of relying and being relied on are mutually influencing in complex ways, so the relationship between relying and risk may not be at all obvious. This study was an attempt to study relying as a social practice, in particular analyzing how it had ecological validity in a social organization—how practice was responsive to the conditions in which it took place. This involved observational fieldwork and inductive, qualitative analysis on an offshore oil and gas production platform that was nearing the end of its design life and undergoing refurbishment. The analysis produced four main categories of ecological validity: responsiveness to formal organization, responsiveness to situational contingency, responsiveness to information asymmetry, and responsiveness to sociomateriality. This ecological validity of relying practice should be a primary focus of risk identification, assessing how relying can become mismatched to reliability in certain ways, both when relying practice is responsive to circumstances and when it is not.     

基于违约鉴别能力组合赋权的小企业信用评级——基于小型工业企业样本数据的实证分析

信用评级是衡量债务违约的可能性,因此评级体系要有违约风险识别能力,能够将违约客户和非违约客户显著地区分开.通过逼近理想点的思路,构建多目标规划模型求解最优的组合权重,并对中国某区域性商业银行1 814笔小型工业企业贷款进行实证分析.本文的创新与特色一是以非违约企业的数据到正理想点的距离代数和最小为第一个目标函数,以违约企业的数据到负理想点的距离代数和最小为第二个目标函数,构建多目标非线性规划模型进行组合赋权,在满足了“非违约企业的评价得分越高、违约企业的评价得分越低”要求的目标下得到最优的组合赋权的权重系数,使赋权结果保证了评级模型能够将违约企业与非违约企业最大地区分开.改变了现有研究的组合赋权脱离评价目的的弊端,改变了现有研究中违约与非违约企业的评价得分存在大量重叠、对两类企业的区分能力低的弊端.二是通过检验“违约企业的信用得分是否显著小于非违约企业的信用得分”的J-T非参数检验,验证信用评价模型的合理性.改变现有研究忽略对信用评价模型的合理性进行验证的弊端.三是经过实证,发现本研究建立的组合赋权模型的违约鉴别能力(Z=5.546)要高于现有研究的两种常用组合赋权模型、即基于方差最大的组合赋权(Z=4.298)和基于偏差最小的组合赋权(Z=5.182)     

Partial Identification of Economic Mobility: With an Application to the United States

Abstract

The economic mobility of individuals and households is of fundamental interest. While many measures of economic mobility exist, reliance on transition matrices remains pervasive due to simplicity and ease of interpretation. However, estimation of transition matrices is complicated by the well-acknowledged problem of measurement error in self-reported and even administrative data. Existing methods of addressing measurement error are complex, rely on numerous strong assumptions, and often require data from more than two periods. In this article, we investigate what can be learned about economic mobility as measured via transition matrices while formally accounting for measurement error in a reasonably transparent manner. To do so, we develop a nonparametric partial identification approach to bound transition probabilities under various assumptions on the measurement error and mobility processes. This approach is applied to panel data from the United States to explore short-run mobility before and after the Great Recession.     

自媒体时代高校社会主义核心价值观教育研究

随着自媒体时代的兴起,高校培育和践行社会主义核心价值观,应全面把握和深入分析自媒体时代的特征及其影响,分析在自媒体时代的冲击下,高校社会主义核心价值观教育所面临的机遇和挑战,探讨如何用多维度策略推进高校社会主义核心价值观的政治认同。     

超大城市人口—自然资源系统可持续发展水平研究——基于Laplace混合政策模拟

人口增长与集聚为超大城市的发展提供动力,也给其自然资源系统带来极大扰动,使之呈现脆弱性特征;为实现超大城市人口—自然资源可持续发展,近年来政府实施了大量调控政策,但因对城市人口—自然资源系统的复杂互动难以精确量化,导致超大城市人口与自然资源关系治理困难重重。基于此,以北京市为例构建人口—自然资源系统可持续性评价框架,从政策干预视角,分析不同类型调控政策(如人口调控、技术改进、资源管制等)与人口、自然资源的因果关系,并利用Laplace准则结合决策者风险喜好,模拟混合政策干预对人口—自然资源系统可持续性带来的影响。结果显示:政策干预是保证北京市人口—自然资源系统可持续发展的重要手段,其中,人口调控政策是北京市人口—自然资源系统可持续性变动的主要影响因素,资源管制和技术改进是次要影响因素;随着政策干预强度的增加,由于人口系统安全性和自然资源系统脆弱性的互动博弈,北京市人口—自然资源可持续性逐渐趋于稳定;在Laplace情景下,人口安全性减弱了1.82%,损失不大;而自然资源脆弱性减弱了12.13%,收益较高;最终使得人口—自然资源系统可持续性增强了6.23%。因此,对于超大城市的政策干预需...