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This study focused on identifying measurable constructs of a restorative classroom and appropriate metrics to measure those constructs through content validity analysis of a direct observation tool. The tool was designed to assess restorative practices implementation in the classroom in the context of professional development supporting teachers in a fundamental reorientation towards non-punitive discipline.

The authors administered a 30-item survey to a panel of 14 experts in restorative practices implementation in schools asking them to provide quantitative and qualitative feedback on the tool's content, metrics, and utility for building teachers' skill and confidence in promoting a restorative classroom. The authors calculated item-level content validity indices and scale-level content validity indices. To interpret findings, the authors applied acceptability criteria recommended in the literature. The authors used qualitative coding to analyze qualitative responses and contextualize quantitative findings.

Quantitative results indicated that the tool's structure and measures of teacher behavior were acceptable. The student behavior scale did not meet the acceptability criterion. Qualitative feedback indicated that observation and later co-reflection on teachers' use of specific restorative skills was deemed helpful to teacher implementation of restorative practices. Observations of student behaviors, however, needed to be broadened to emphasize student voice and agency and the quality of student interactions.

Novel approaches to measurement are needed to facilitate teacher implementation of restorative practices as schools adopt those practices to promote equitable student agency, engagement and belonging in a pivotal shift from existing punitive discipline systems.

Presents the findings of a study of long distance migrations for employment opportunities in both the US and the UK. Compares the cross‐national differences between the two countries and tries to investigate the effects of the relative resources of the partner in their subsequent search for employment. Attempts to discover any gender differences based upon occupational status. Evaluates the similarity and differences between the countries.

The increase in enrolment into higher education and the inadequate student housing in educational institutions has led to the growth of off-campus private student housing in Nigeria. Studentification as a research area has received attention in most countries in the global North, whereas there is dearth of studies on studentification in Nigeria. Therefore, this paper aims to examine the effects of studentification on the residents of selected Nigerian communities.

The study adopted an exploratory research strategy. Semi-structured interviews were conducted to gather qualitative data from respondents, who were landlords and indigenous tenants of the host communities of two tertiary institutions. The data collected were analysed by means of the thematic analysis technique.

It became evident that studentification has some effects on the communities. Significant positive effects are business patronage and liveliness, while socio-economic-related factors, which include indecent clothing and theft, were noted as the most significant negative factors.

Implementing the outcomes of this study will contribute to promoting societal ethical values and economic prosperity of the communities.

The paper contributes to building the body of knowledge on the effect of studentification in the Nigerian context.

The purpose of this paper is to predict the concrete pouring production rate by considering both construction and supply parameters, and by using a more stable learning method.

Unlike similar approaches, this paper considers not only construction site parameters, but also supply chain parameters. Machine learner fusion-regression (MLF-R) is used to predict the production rate of concrete pouring tasks.

MLF-R is used on a field database including 2,600 deliveries to 507 different locations. The proposed data set and the results are compared with ANN-Gaussian, ANN-Sigmoid and Adaboost.R2 (ANN-Gaussian). The results show better performance of MLF-R obtaining the least root mean square error (RMSE) compared with other methods. Moreover, the RMSEs derived from the predictions by MLF-R in some trials had the least standard deviation, indicating the stability of this approach among similar used approaches.

The size of the database used in this study is much larger than the size of databases used in previous studies. It helps authors draw their conclusions more confidently and introduce more generalised models that can be used in the ready-mixed concrete industry.

Introducing a more stable learning method for predicting the concrete pouring production rate helps not only construction parameters, but also traffic and supply chain parameters.

The competition reality television show Dragula (Boulet Brothers, 2016-present) features a parade of monsters from the horror canon. Each episode, queer drag artists present outfits based on the show's aesthetic tenants: horror, filth and glamour. Nearly every outfit presented by the show's contestants, dubbed ‘drag monsters’, features some element of monstrosity and many pay specific homage to monsters from horror cinema. In drawing the monster figure into the world of gender performance, Dragula showcases the vast queer possibility of the monster figure. Like queerness itself, these drag monsters prove monstrosity is fluid and need not by associated to any one specific gender; the monster figure provides a canvas on which these artists can move between both human and non-human and male and female. This chapter traces the show's horror lineage – most notably the text from which it queers its name, Bram Stroker's Dracula (1987), and Stephen King's Carrie (1974) as well as the alternative precedent set by the drag legend Divine. Its analysis demonstrates Dragula's creative power in reimaging gender beyond the binary of man/woman by way of the monster figure.

This article examines how contact with the police led to the death of Michael Brown (an unarmed 18-year-old Black teenager from Ferguson, Missouri, who was shot and killed during an altercation with a police officer). And, how Darren Wilson (the White police officer from the Ferguson Police Department who shot and killed Michael Brown) was portrayed in mainstream newspaper articles covering the story of Brown’s death.

Using both frame analysis and Hall’s framework of discursive domains for organizing and making sense of events in social life, we analyzed news coverage of Brown in three of the top circulating daily newspapers in the US: The New York Times, Los Angeles Times, and The Washington Post. The Lexis Nexis database was used to retrieve a set of newspapers using the search term “Michael Brown.” Articles from the three leading newspapers were collected from the day the event occurred, August 9, 2014, through the end of the year, December 31, 2014.

The news articles used in this study were mostly written with an episodic frame. The articles presenting the socioeconomic background of Brown and Wilson were described as profiles on each individual and the neighborhood they came from, rather than a discussion about where they fell on the economic structure of this country and the larger, upstream forces that might influence those positions. The feelings and attitudes of the reader are also likely to be influenced by details included in the articles and how they were presented.

The findings contribute to the broader literature looking at the relationships between police and Black communities. Public health can play a role in advocating and facilitating programs that build better linkages between police and community. The public health field can take a leadership role in holding the news media accountable when they are engaging in frenetic inaction. Only by having difficult and challenging conversations that examines the upstream causes of violence and deaths like Brown’s, can we make progress in preventing them.