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Social movement organizations are concerned and cognizant of their public image and typically need to maintain positive public perception to gain and sustain support. White supremacist organizations believe that they are highly stigmatized, reviled, and surveilled groups and go to great lengths to protect their desired self-representation. Through a qualitative analysis of close to 2 million Discord chat messages from white supremacist organizations, I find that white nationalist groups attempt to cater their public appearances through three primary axes: organizational, activism, and individual/membership. This chapter uses concepts from Goffmanian sociology, such as Stigma, Impression Management, and Frontstage/Backstage, to highlight how political movements discuss, argue, and debate the public image they wish to deploy. Studies on right-wing movements tend to be “externalist” in the sense that they look at publicly available documents which privilege the views of leadership. This chapter uses a dataset which delves into the social movement “backstage,” enabling us to view white supremacists' private conversations, their impression management strategies, and how they wish to appear on the “frontstage.”

The aim of this study is to investigate ways in which healthcare organisations can successfully maintain operational resilience within intricate and varied engagements during digital transformation processes.

The present research applied cultural-historical activity theory as the theoretical framework and the ethnographic account as an approach and strategy to interpret and understand the operational resilience of digital transformation tools in daily practices. Fieldwork was based on the research technique of shadowing, whereby the researcher closely accompanied the participants to record their conduct, activities and exchanges.

Research results propose that effective operational resilience management in the implementation of digital transformation projects is based on (1) identifying and interpreting internal contradictions in everyday interactions as opportunities for capability developments; (2) navigating through multiple sites in fast and improvised movements, which derives in distributed and emergent practices; (3) interplaying between dyadic interactions and networked dependencies, which is achieved through the articulation of varied interests and (4) implementing novel intermediary tools, roles and regulations that facilitate the reduction of disturbances.

The propositions of the present study indicate that the management of operational resilience extends beyond conventional adaptive and socio-technical models in healthcare services. The study emphasises the significance of expressing and converting differing interests into mutual advantages. It additionally demonstrates the intricacy of this obstacle, as it entails navigating through uncertain information, concealed interpretations and conflicting interests.

Despite being an authentic carrier of various cultural practices, the human body is often underutilised to access the knowledge of human body. Digital inventions today have created new avenues to open up cultural data resources, yet mainly as apparatuses for well-annotated and object-based collections. Hence, there is a pressing need for empowering the representation of intangible expressions, particularly embodied knowledge within its cultural context. To address this issue, the authors propose to inspect the potential of machine learning methods to enhance archival knowledge interaction with intangible cultural heritage (ICH) materials.

This research adopts a novel approach by combining movement computing with knowledge-specific modelling to support retrieving through embodied cues, which is applied to a multimodal archive documenting the cultural heritage (CH) of Southern Chinese martial arts.

Through experimenting with a retrieval engine implemented using the Hong Kong Martial Arts Living Archive (HKMALA) datasets, this work validated the effectiveness of the developed approach in multimodal content retrieval and highlighted the potential for the multimodal's application in facilitating archival exploration and knowledge discoverability.

This work takes a knowledge-specific approach to invent an intelligent encoding approach through a deep-learning workflow. This article underlines that the convergence of algorithmic reckoning and content-centred design holds promise for transforming the paradigm of archival interaction, thereby augmenting knowledge transmission via more accessible CH materials.

This chapter examines how groups' tactical selection shapes social movement mobilization and survival. I focus on 35 Indivisible groups founded in 10 American cities immediately after the 2017 Women's March. I analyze the descriptions of over 8,000 events on group Facebook pages from 2017–2019 and conduct 25 interviews with group members. These data allow me to assess how the type, diversity, and flexibility of tactics shape group mobilization and survival. I find that groups that use more protest and electoral tactics and those that use a diversity of tactics host more events and are more likely to survive over time. Being consistent in tactics was successful when groups used political tactics, particularly protest and electoral activities. Groups that engaged in a variety of tactics could also be successful, particularly in smaller and more conservative settings. This research illuminates the complex and situational ways that tactical choices matter for social movement longevity.

Education tends to colonize. Established authorities (teachers, curricula, and examinations) instruct newcomers, extending conditional membership. This presents a dilemma for teachers seeking to instill in their students habits of critical, creative, and lateral thinking. In Australia as elsewhere, blueprint educational documents embody lofty aspirational statements of inclusion and investment in people and their potential. Yoked to this is a regime routinely imposing high-stakes basic-skills testing on school students, with increasingly constrictive ways of doing, while privileging competition over collaboration. This chapter explores more informal, organic learning. This self-study narrative inquiry explores my career in terms of a struggle to be my most evolved, enlightened self, as opposed to a small-minded, small-hearted mini-me. To balance this, I examine responsible autonomy (including my own), rather than freedom. This chapter also explores investment in humans, with the reasonable expectation of a return on that investment. It draws and reflects upon events in or impacting my hometown, Sydney, Australia, focusing largely on WorldPride, the Women's World Cup, and a referendum on an Indigenous voice to parliament, all of which took place as I compiled this chapter. Accordingly, the narrative focuses primarily on sexuality, gender, and race. I explore the capacity of my surroundings to teach me and my capacity to learn from my surroundings. The findings and discussion comprise diary-type entries of significant events and their implications for (my) excessive entitlement. The final section of this chapter reviews what and how I have learned.