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Typically, community legal education projects are ad hoc efforts where attorneys, law students, paralegals, or community organizers present how‐to workshops, develop manuals, or lead informational or training sessions for other attorneys, advocates, or members of the community. However, community education efforts can also promote and encourage public awareness, community engagement, and advocacy. This essay explores why community legal education efforts are needed and particularly well suited for youth transitioning out of foster care, and examines a specific community legal education effort that is being implemented with and on behalf of foster youth transitioning out of New Jersey's foster care system. The hope is that by studying this example, others may learn from it and be inspired to replicate it, as part of a state's or a community's overall effort to aid, empower, and engage foster youth.  相似文献   
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ABSTRACT

Significant research has been devoted to analyzing community gardens, including their benefits and problems. This article contributes to debates about community gardens by using concepts from feminist geography and food justice research to reflect upon the challenges and possibilities of community gardening in small, peripheral cities with large immigrant populations. We argue that these concepts provide a useful framework to enact ecofeminist visions through community gardens, especially in places dominated by immigrant populations that are particularly marginalized in the present political era. Our case study garden, Raíces Del Sur, was located in the City of Passaic, a low-income, post-industrial urban center surrounded by suburbs in Passaic County, New Jersey. As activists involved in the making of the Raíces Del Sur community garden to different degrees, and as researchers committed to an ecofeminist vision, we draw attention to the need for greater ecofeminist engagement with community gardening initiatives in cities throughout New Jersey.  相似文献   
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构建地理空间预测模型是指根据犯罪分子有意识或无意识选择的喜好的空间信息,把成百上千个地理空间因素融合在一起,形成统计偏好相似性的地理空间模型。构建地理空间预测模型是以情报为导向的警务工作中所运用的一种新兴工作方法,是一种更为积极主动的预防犯罪的方法。  相似文献   
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《Justice Quarterly》2012,29(2):193-223
This paper describes two studies designed to produce benchmark values with which to compare police stop data in an effort to assess racial profiling. Racial profiling is often measured by comparing the racial and ethnic distribution from police stop rates to race and ethnicity data derived from regional census counts. However, benchmarks may be more appropriate that are based on (1) the population of drivers or (2) the population of traffic violators. This research surveyed drivers on the New Jersey Turnpike and produced benchmark distributions reflecting these two populations. Benchmark values then were compared to police stops collected from State Troopers patrolling the Turnpike. The results revealed that the racial make‐up of speeders differed from that of nonspeeding drivers and closely approximated the racial composition of police stops. Specifically, the proportion of speeding drivers who were identified as Black mirrored the proportion of Black drivers stopped by police. This finding may explain the differences found between police stop rates and regional census data that are often interpreted as evidence of racial profiling. Interpretation and limitations of the results are discussed.  相似文献   
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