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This chapter employs multiple frameworks to establish the need for and the promise of culturally inclusive science literacy strategies for urban United States contexts. Relevant frameworks for inclusive science education include (but are not limited to) science literacy by discourse norms found in Next Generation Science Standards (NGSS), American Association for the Advancement of Science (AAAS) and National Research Council (NRC) reform documents and Culturally Responsive Pedagogy. Science education research has demonstrated that traditional notions of literacy have historically led to exclusion of diversity among successful science students. In part, an assessment driven narrow representation of science in schools has led to a growing opportunity gap for children of colour, particularly in urban settings in the United States. Culturally based best practices in teaching science literacy can aid in the achievement of underrepresented science students as research continues to demonstrate the need for culturally relevant curriculum materials which recognise diverse cultural perspectives and contributions in science.

The emergence of gender-nonconforming behavior in a child presents an opportunity and, often, significant pressure for parents to question the gender beliefs they have taken for granted. The purpose of this research is to examine how parents of gender-diverse youth respond to such pressures and ultimately come to understand and support their children’s gender identity.

This research is guided by Ridgeway’s theoretical concept of gender as a primary frame for coordinating social life. Using in-depth interviews with 36 supportive parents of gender-diverse children, the author details the process by which parents developed a critical consciousness of gender and subsequently adopted trans-affirming beliefs in response to their children’s gender-nonconformity.

Findings illustrate the power of gender as a primary frame for organizing life within the family as well as the circumstances under which hegemonic gender beliefs can be disrupted and alternative beliefs can be formed. The analysis shows that the process of making space for gender diversity within the home, which is taken on almost exclusively by mothers, invokes competing maternal mandates of raising “proper” children versus modeling selfless devotion to children’s happiness and well-being. As mothers navigate these conflicting requirements to create greater gender freedom for their children, they reinforce and perpetuate gender stereotypes that cast women as natural caregivers. Ironically, the work of intensive mothering is also the mechanism through which women come to develop alternative gender beliefs that they then use to expand gender possibilities for their children.

This chapter draws from research on aesthetic labour, gender, management and organisation studies and research on women's careers. We base our analysis on two empirical data sets, namely interviews with women mid-managers in Finland and Scotland, and interviews with highly positioned expert women in Finland in knowledge work. Women in different phases of their careers and life experience manifold pressures on appearances, and are increasingly aware of the demands to ‘look good and sound right’. We address how these pressures impact on women managers' and experts' well-being and career plans.

The purpose of this paper is to draw a better understanding of the potential impact of daylight in officer decision making. In order to this, the authors test the veil of darkness hypothesis, which theorizes that racial bias in traffic stops can be tested by controlling for the impact of daylight, while operating under the assumption that driver patterns remain constant across race.

Publicly available traffic-stop records from the Louisville Metro Police Department for January 2010–2019. The analysis includes both propensity score matching to examine the impact of daylight in similarly situated stops and coefficients testing to analyze how VOD may vary in citation-specific models.

The results show that using PSM following the VOD hypothesis does show evidence of racial bias, with Black drivers more likely to be stopped. Moreover, the effects of daylight significantly varied across citation-specific models.

The data are self-reported from the officer and do not contain information on the vehicle make or model.

This paper shows that utilizing PSM and coefficients testing provides for a better analysis following the VOD hypothesis and does a better job of understanding the impact of daylight and the officer decision-making on traffic stops.

Based on the quality of the data, the findings show that the use of VOD allows for the performance of more rigorous analyses of traffic stop data – giving police departments a better way to examine if racial profiling is evident.

This is the first study (to the researchers' knowledge) that applies the statistical analyses of PSM to the confines of the veil of darkness hypothesis.

Within the last 15 years, law enforcement agencies have increased their collection of data on vehicle stops. A variety of resource guides, research reports, and peer‐reviewed articles have outlined the methods used to collect these data and conduct analyses. This literature is spread across numerous publications and can be cumbersome to summarize for practical use by practitioners and academics. This article seeks to fill this gap by detailing the current best practices in vehicle stop data collection and analysis in state police agencies.

The article summarizes the data collection techniques used to assist in identifying racial/ethnic disparities in vehicle stops. Specifically, questions concerning why, when, how, and what data should be collected are addressed. The most common data analysis techniques for vehicle stops are offered, including an evaluation of common benchmarking techniques and their ability to measure at‐risk drivers. Vehicle stop outcome analyses are also discussed, including multivariate analyses and the outcome test. Within this summary, strengths and weaknesses of these techniques are explored.

In summarizing these approaches, a body of best practices in vehicle stop data collection and analysis is developed.

Racial profiling continues to be a contentious issue for law enforcement and the community. A considerable body of research has developed to assess the prevalence of racial profiling. This article offers social scientists and practitioners a comprehensive, succinct, peer‐reviewed summary of the best practices in vehicle stop data collection and analysis.

Teams do not operate in a vacuum, but in specific real-world contexts. For many teams, this context includes high-demand, high-stress conditions which can negatively impact team functioning. In this chapter, we discuss how stress may impact team cohesion and examine stress mitigation strategies to overcome these effects.

The following annotated bibliography of materials on orienting users to libraries and on instructing them in the use of reference and other resources covers publications from 1981. A few items from 1980 have been included because information about them was not available in time for the 1980 listing. A few items have not been annotated because the compiler was unable to secure copies of these items.

This study aims to demonstrate the need for further examination of legal judgments and the exercise of discretion in policing.

A factorial vignette survey with traffic stop scenarios based on US Court of Appeals decisions was administered to 396 police officers across six states. Officers were asked to indicate their assessment of the presence of reasonable suspicion and the likelihood that they would extend the stop for investigatory purposes.

Officers' reasonable suspicion judgments are significantly influenced by the vignette facts and align with court ruling expectations. However, even in the presence of reasonable suspicion, responses indicate a limited use of officer discretion to extend the stop.

Analyses of officer decision-making often rely on large datasets with easy indicators of location, officer demographics and citizen demographics, but rarely consider the facts of individual cases. This study suggests more experimental research is needed to consider the impact of case facts on officer judgments and discretionary activity.

This chapter on terrorism prevention provides the reader with an overview of the various terrorist prevention organizations within the United States at the federal, state, and local levels. It is divided into two different sections, the first providing a detailed description of various federal agencies involved in terrorism prevention and an overview of how state and local agencies fit within the federal framework. The second section of this chapter describes various efforts to integrate these disparate organizations into a cohesive effort to prevent terrorism activities. This chapter concludes with some suggestions for future consideration to help with the overall terrorism prevention effort.