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The purpose of this paper is to examine how participants in diverse schools newly implement the Sanford Harmony social and emotional learning (SEL) program and perceive its benefits for students and overall school climate.

The current study employed a convergent parallel mixed-methods design with a sample of five elementary schools in the western USA. Measures included classroom observations, administrator interviews, teacher interviews and focus groups, student focus groups, and a teacher questionnaire.

Findings indicated expected variation in implementation across schools, although all participants reacted favorably to the program and, importantly, would recommend the program to others. Administrators, teachers and students all saw the value of the program, particularly in terms of student relationship building and improved school climate. Implementation challenges experienced by schools were consistent with research on diffusion of innovations.

The present study demonstrates the importance of effective professional development, continued support, collective decision making and intentional integration of the SEL program throughout a school to support robust implementation and ultimately achieve intended outcomes.

Researchers have yet to examine in-depth implementation of the Sanford Harmony program and how best to support scale-up and more intentional implementation in schools. As implementation fidelity is a key component of a program achieving intended outcomes, the findings from the present study contribute to the knowledge base of supporting SEL program implementation.

This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for student learning. Classroom compositions of peers can also influence student learning.

A literature review was conducted on the use of data-driven decision-making in the rostering process. The review addressed the merits of using various quantitative metrics in the rostering process.

Findings revealed that, despite often being purposeful about rostering, school leaders and staffs have generally not engaged in data-driven decision-making in creating class rosters. Using data-driven rostering may have benefits, such as limiting the questionable practice of assigning the least effective teachers in the school to the youngest or lowest performing students. School leaders and staffs may also work to minimize negative peer effects due to concentrating low-achieving, low-income, or disruptive students in any one class. Any data-driven system used in rostering, however, would need to be adequately complex to account for multiple influences on student learning. Based on the research reviewed, quantitative data alone may not be sufficient for effective rostering decisions.

Given the rich data available to school leaders and staffs, data-driven decision-making could inform rostering and contribute to more efficacious and equitable classroom assignments.

This article is the first to summarize relevant research across multiple bodies of literature on the opportunities for and challenges of using data-driven decision-making in creating class rosters.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

Interactive storytelling can be based either on explicit plot representations or on the autonomous behaviour of artificial characters. In such a character‐based approach, the dynamic interaction between characters generates the actual plot from a generic storyline. Characters’ behaviours are implemented through real‐time search‐based planning techniques. However, the top‐down planning systems that control artificial actors need to be complemented with appropriate mechanisms dealing with emerging (“bottom‐up”) situations of narrative relevance. After discussing the determinants that account for the emergence of narrative situations, we introduce additional mechanisms for coping with these situations. These comprise situated reasoning and action repair: we also illustrate the concepts through detailed examples.

Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined.

This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife.

Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability.

This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.

As Lorna Jowett and Stacey Abbott have pointed out, the US TV serial Supernatural owes much of its success to the way it combines horror with family drama, strengthening the affective involvement of viewers in the lives of its protagonists, the monster-hunting Winchester brothers. The notion of home – presented variously as a domestic, feminine space from which the Winchesters and their compatriots are excluded; a mobile and contingent space of masculine bonding; and a hybrid space which allows for self-expression outside prescribed gender norms, but which also holds the potential for danger – is central.

Heather L. Duda has pointed to the ways monster hunters are excluded from the normative institutions of their societies, and this is certainly true of the Winchesters, who live in their family car and are unable to maintain ‘normal’ homes. Later seasons give them a home in the form of an underground bunker, not designed as a domestic space, but nonetheless a place where their hypermasculine behaviours can be relaxed. This chapter examines the tensions that emerge in this apparent move from a traditional narrative of the home as feminine space under threat to something more ambivalent, where masculine identity itself may be in danger.

The CW’s long-running horror-drama series Supernatural (2005–) has been accused of undoing progressive advances for women made by Buffy the Vampire Slayer (1996–2003). While it’s hard to deny the truth in that claim, Supernatural also problematizes conventional gender roles from a very different approach, one that plays with perceptions of masculinity and social class.

Buffy Summers may initially seem to have more in common with Supernatural’s Sam Winchester, a chosen one with special powers who wants a normal life away from the supernatural. However, Buffy shares more in common with Dean Winchester. Embodying popular gendered stereotypes in their introductions, it’s gradually revealed that there is more complexity to each. Both form alliances with Others; both recognize elements of the Other in themselves. Both transgress conventional gender boundaries, complicating the notion of a binary gender system. Both series introduce the seemingly familiar only to alter it into the uncanny. See the little cute blonde virginal cheerleader? She can kick your ass. See the stupid cocky womanizing jock? All he wants is family and a home. This chapter explores the increasingly gender-blended, social-class-crossing behaviours of Supernatural’s Dean Winchester as an heir to Buffy the Vampire Slayer.

Examines the debate over “Higher superstition” (Gross and Levitt, 1994). Puts forward the arguments in the book and the response to the book from members of the US science and technology studies community. Asserts that increases in technical control have been at the expense of social and individual control. Mentions “diversionary reframing” – changing the subject, possibly by diverting attention away from the subject matter to the person doing the criticizing. Explores public attitudes towards science and technology, quoting a number of layman approaches to the bafflement of science. Identifies the irony in Gross and Levitt’s arguments, particularly in developing the interface between science and technology. Recommends paying more attention to the social construction of beliefs.

The Hispanic population in the United States is rapidly increasing and is expected to be the largest minority group within the next decade. Consequently, a better understanding of this group of consumers is of great importance to marketers. This study investigates the role that acculturation plays on a number of consumer‐related attitudes and behaviors. The results indicate that as acculturation increases, Hispanic consumers are more frequently exposed to English language media, use coupons with greater frequency, and display less loyalty to specific brands.