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There is a pressing need to teach students how to talk critically about race to understand the personal and political implications of racism in the contemporary US society. Classroom race talk, however, often includes moments of discomfort or confusion as teachers and students navigate new norms for making sense of race and racism. The purpose of this paper is to examine how one white teacher and her multiracial class of fourth-grade students navigated race talk tensions while reading and discussing shared texts.

Data for this paper were collected as part of a larger, year-long qualitative study on antiracist pedagogy. In this paper, the author analyzes video data of classroom race talk recorded during whole-class and small-group literacy lessons. Using inductive coding and reconstructive critical discourse analysis, the author examines how the teacher and students co-constructed meaning during tense or confusing conversational moments.

The findings demonstrate that the teacher and students jointly mediated tensions by using the practices of racial literacy, which included learning about the history of racial inequality in the USA, considering racism as structural and systemic rather than individual and asking and answering questions for continued inquiry and critical self-reflection. While previous research studies have characterized race talk tensions as problems or obstacles to student learning, the findings from this study suggest that tensions can be generative to developing and enacting racial literacy.

In the current political climate, alarmist rhetoric issued by conservative politicians and media outlets has discredited race talk as harmful or damaging to children. This study offers a positive reframing of tensions, which may provide teachers encouragement to pursue literacy instruction that equips students with knowledge and skills to better understand and confront racism.

The purpose of this paper is to present a practical, low-tech and adaptable methodology for converting large amounts of comment data into actionable, qualitative analysis.

In 2013, the Horace W. Sturgis Library of Kennesaw State University conducted the LibQUAL+ survey, receiving 1,653 open-ended comments. In a home-grown approach to comment analysis, the Sturgis Library targeted specific areas of operational significance (chat, ILL, etc.) to analyze in depth. Keywords and synonyms were identified, comments containing these terms were evaluated and a document known as a mini-report summarized the analysis for each area.

Over the summer of 2013, two librarians created 12 mini-reports. The mini-report format allowed investigators to build up their understanding of the organization incrementally and proved a valuable means of summarizing qualitative analysis and sharing it with various stakeholders.

Not all comments are coded, and therefore, potentially valuable information is lost. By limiting focus to specific operational areas, the methodology does not capture themes that are diffused throughout the organization. Some areas of operational significance are difficult to isolate by keywords.

This paper contributes to the literature on pragmatic qualitative analysis. Many existing models of qualitative analysis are resource intensive, in terms of time, technology and staff training. This paper presents a variation on a methodology that is more adaptable, allowing the researchers to explore within large pools of comment data without having to code and analyze every comment.

Whether you are buying your first personal computer or considering an upgrade, you face a confusing marketplace that is unlikely to become simpler. You must plan your uses and consider your needs, so that you will know what type of computer you want. Knowing what you want is not enough, however; knowing the marketplace may be equally important. Traditional preferences for purchasing methods may no longer make sense—but none of the alternatives are foolproof. It is easy to make a mistake and some mistakes are more disastrous than others. The author discusses his own mistakes, how those mistakes were resolved, and what they might mean to you. The article concludes with some highlights from personal computing magazines published during April‐June 1989.

This paper seeks to explore the role of virtues in the context of management from a religious perspective. Its objective is to shed some light on the significance of Martin Luther's anthropology and theology of justification for a modern understanding of practical wisdom.

The paper reviews some passages of source literature by Martin Luther and – with side glances to Georg Simmel – reflects on basic structures of personal failure, as implied by Luther's metaphor of the self‐inclined man (homo incurvatus in se ipsum). By developing two theses, the paper proceeds to the question whether a protestant re‐formulation of practical wisdom could be useful to overcome self‐reference, not only on a personal, but also on an organisational level.

Faith and love, reformulated as virtues of practical wisdom for modern management from a protestant perspective can be understood as a receptive attitude and the ability to establish non‐instrumentalised and respectful relationships to humans. Lived by managers, they could help preventing companies and economy at large, to get caught in self‐referential, and inherently instable feedback cycles.

The change of perspective, inspired by Luther's theology of justification, enriches the notion of practical wisdom with new connotations and makes them accessible to the discourse over virtues in management.

“The issue we confront today is not primarily one concerning a special day for an individual. The issue is in reality whether our nation can summon the will and vision to recognize a great and historic period in its history by designating the birthdate of one who made major contributions to the period a national public holiday.”

Despite apparent consensus about the importance of leader rhetoric, the topic has not received systematic attention from leadership scholars. The purpose of this article is to advance the study of the relationship between rhetorical behavior and charismatic leadership in three ways: first, by presenting theoretically derived propositions about the expected contents of charismatic leaders’ speeches; second, by offering a thematic content analysis of a representative speech by a charismatic orator, in order to demonstrate the content themes suggested by the propositions; and third, by specifying the requirements for more systematic studies of the relationship between speech content and charisma.

Controversy has long swirled over the claim that Donald Trump's base has deeply rooted authoritarian tendencies, but Trump himself seems to have few doubts. Asked whether his stated wish to be dictator “on day one” of second term in office would repel voters, Trump said “I think a lot of people like it.” It is one of his invariable talking points that 74 million voters supported him in 2020, and he remains the unrivaled leader of the Republican Party, even as his rhetoric escalates to levels that cautious observers now routinely call fascistic.

Is Trump right that many people “like” his talk of dictatorship? If so, what does that mean empirically? Part of the answer to these questions was apparent early, in the results of the 2016 American National Election Study (ANES), which included survey questions that we had proposed which we drew from the aptly-named “Right-Wing Authoritarianism” scale. Posed to voters in 2012–2013 and again in 2016, those questions elicited striking responses.

In this chapter, we revisit those responses. We begin by exploring Trump's escalating anti-democratic rhetoric in the light of themes drawn from Max Weber and Theodor W. Adorno. We follow this with the text of the 2017 conference paper in which we first reported that 75% of Trump's voters supported him enthusiastically, mainly because they shared his prejudices, not because they were hurting economically. They hoped to “get rid” of troublemakers and “crush evil.” That wish, as we show in our conclusion, remains central to Trump's appeal.

The purpose of this paper is to evaluate current simulation capabilities for thin film delamination on the basis of real test data as well as a contribution to its extension in order to partly substitute experimental investigations.

The proposed model consists of a formulation that describes the behaviour of the bulk material and an approach that introduces the film's delamination capability. An implicit finite element framework with a cohesive zone implementation is used and described in detail. The numerical results on the basis of the a priori identified material parameters are related to the experimental work. In order to capture the obvious peel speed dependency of these delamination processes, a viscoelastic cohesive formulation is introduced and compared with a pure separation rate dependent cohesive material in the second part of this contribution.

The performed numerical simulations show a good approximation of the experimental peel process. The extension in order to take time‐dependent effects into account is required for the simulation of such problems. In contrast with the pure rate‐dependent model, the presented consistent formulation of the cohesive part is able to cover the whole range of observed material phenomena.

Owing to the absence of suitable experimental single mode investigations of the sealed layer, the used cohesive material parameters are identified in relation to the pre‐existing experimental results. Furthermore, the resultant peel force has a constant value due to the assumed homogeneous cohesive material and therefore gives only a mean approximation of the experimental values at this stage of the investigation.

The numerical representation of such a thin film delamination process in relation to real experimental results shows the additional capabilities and the usability of the implicit finite element method with a cohesive zone implementation in a clear and illustrative way. The first proposed cohesive extension based on a rheological model shows the capability to cover the full range of time‐dependent interface layer behaviour.