论非典型鉴定意见的法律效力——“鉴定咨询意见”、“鉴定检验报告”、“技术证据审核意见”的证据能力问题亟需依法统一认识

“两种意见”和“两种检验报告”的性质和作用问题，在司法鉴定和司法活动中是经常引起争议的理论和实践问题。本文针对当前的争议．对每个问题提出了自己的观点和解决争议的主张。认为“鉴定专家咨询委员会”出具的“鉴定咨询意见”不是鉴定意见．不能作为定案的根据，只能作为侦查、审查起诉、审判的参考。并论证了其中的多方面原因;主张“鉴定检验报告”应当区分法定与法外两种性质，分别属于法定鉴定意见证据和仅供审判部门参考的非法定证据．并提出了对两种不同性质“检验报告”的使用评断原则;认为人民检察院、人民法院的“科技证据审核活动”．属于司法机关对鉴定意见的内部咨询活动，审查的范围仅限于四个方面．技审人员和机构无权对司法鉴定意见进行否定或肯定．只能对四方面的问题提出“审查建议”,“技术审查意见”只能作为检察、审判机关审查起诉和审判的内部参考．不能栽入起诉书和裁判文书。     

我国灾难新闻报道模式的转变与突破——以汶川地震报道为例

汶川地震报道表现出中国灾难新闻报道模式的转变与突破。新中国60年来的灾难新闻经历了三种报道模式,即"党本位"的单向度闭合模式、"事本位"的多向度客观报道模式、"人本位"的全息化开放报道模式,后者标志着灾难报道的新突破:"全息化的开放报道框架"突破"单向度的闭合报道框架";人性化报道突破模式化报道,"集体呈现"向"个体呈现"转变;平民化视角凸显,展现多元人物的生存状态,避免"英雄神化"与"领袖宣传"。当然,汶川地震报道在转变与突破中也存在值得反思的问题。     

Measurement and Other Errors in County-Level UCR Data: A Reply to Lott and Whitley

Lott and Whitley note that our analyses of the errors in the county-level UCR data used in More Guns, Less Crime (J. R. Lott, University of Chicago Press, Chicago, 1998, 2000) ignore the fact that all data have measurement error, that the largest errors were in counties with low populations, and that population-weighted regressions were used. We agree that this mitigates some of the effects of the errors, but does not take them fully into account. We also note that this is but one of the problems associated with the analysis. We therefore find no reason to alter our original conclusion, that in their current condition, county-level UCR crime statistics cannot be used for evaluating the effects of changes in policy.     

Multiple Imputation of the Supplementary Homicide Reports, 1976–2005

The Supplementary Homicide Reports (SHR), assembled by the Federal Bureau of Investigation (FBI), have for many years represented the most valuable source of information on the patterns and trends in murder and non-negligent manslaughter. Despite their widespread use by researchers and policy makers alike, these data are not completely without their limitations, the most important of which involves missing or incomplete incident reports. In this analysis, we develop methods for addressing missing data in the 1976–2005 SHR cumulative file, related to both non-reports (unit missingness) and incomplete reports (item missingness). For incomplete case data (that is, missing characteristics on victims, offenders or incidents), we implement a multiple imputation (MI) approach based on a log-linear model for incomplete multivariate categorical data. Then, to adjust for unit missingness, we adopt a weighting scheme linked to FBI annual estimates of homicide counts by state and National Center for Health Statistics mortality data on decedent characteristics in coroners’ reports for deaths classified as homicide. The result is a fully-imputed SHR database for 1976–2005. This paper examines the effects of MI and case weighting on victim/offender/incident characteristics, including standard errors of parameter estimates resulting from imputation uncertainty.