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Activism in the sport world is often connected to iconic images like the raised fists of John Carlos and Tommie Smith in a Black Power salute at the 1968 Mexico City Olympics or the figure of Cathy Freeman, wrapped in the Aboriginal flag, taking her victory lap at the 1994 Commonwealth Games and the 2020 Sydney Olympics. Activism, be it individual or through collective action, is a contemporary reality in sport. These actions reverberate out, sometimes joining with or magnifying other significant social and political currents to create waves that shift society. They may take the form of supporting mental health conversations, developing sporting infrastructure and support to expand opportunities for the next generation, concerted efforts at changing governance representation, or challenging sexist policy in sports, for example. This chapter draws from a talanoa on activism in Pacific sport, bringing these various activities together in order to surface the activism taking place, and better understand and reframe how we think about sport activism in Pacific communities. On the one hand, we recognize that particular cultural values like humility, respect, and orientations to servant leadership naturally encourage activism in the form of everyday advocacy and grassroots interventions. On the other, we discuss whether these values also prevent more outspoken and disruptive forms of activism which are often required to challenge systems of injustice and enact structural change. In this preliminary look at Pacific activism in sport, we surface some insights and raise questions for future research.

Drawing from interviews with individuals on parole, this chapter explores experiences of and responses to penal misrecognition. It documents that participants feel fundamentally misrecognised by the parole agency and penal state. They believe that the penal state views them as dangerous, defective and incapable of virtuous self-governance. Yet this is not how they perceive themselves. This leads to a delicate balancing act where participants refuse certain aspects of the penal state while accommodating others. On the one hand, individuals refuse parole’s misrecognition of them and reject the state’s authority to define who they are. On the other hand, they largely acquiesce to parole’s authority to supervise and regulate conduct. Turning to the concept of refusal highlights that individuals do not just attempt to resist penal power; rather, they flatly reject the state’s epistemic constructions. They do this by turning away from parole and by turning towards other forms of sociality beyond the penal state. This creates material and affective distance from parole and opens up space for self-recognition and for receiving positive recognition from others. In this way, individuals seek to minimise, move away from and/or bypass a penal intervention that is ostensibly designed to assist and support them.

The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

Policing requires atypical work hours. The present study examined associations between shiftwork and pregnancy loss among female police officers.

Participants were 91 female officers with a prior history of at least one pregnancy. Shiftwork information was assessed using daily electronic payroll work records. Any prior pregnancy loss (due to miscarriage) was self-reported. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for main associations.

On average, the officers were 42 years old, had 14 years of service, and 56% reported a prior pregnancy loss. Officers who worked dominantly on the afternoon or night shift during their career had 96% greater odds of pregnancy loss compared to those on day shift (OR = 1.96, 95% CI:0.71–5.42), but the result was not statistically significant. A 25% increase in percent of hours worked on night shift was associated with 87% increased odds of pregnancy loss (OR = 1.87, 95% CI:1.01–3.47). Associations were adjusted for demographic and lifestyle factors. Objective assessment of shiftwork via electronic records strengthened the study. Limitations include small sample size, cross-sectional design and lack of details on pregnancy loss or the timing of pregnancy loss with regard to shiftwork.

The present study is preliminary and cross-sectional.

With considerable further inquiry and findings into this topic, results may have an impact on police policy affecting shift work and pregnant police officers.

Implication on the health and welfare of police officers.

To our knowledge, there are no empirical studies which associate shiftwork and pregnancy loss among police officers. This preliminary study suggested an association between shiftwork and increased odds of pregnancy loss and points out the need for further study.

In spite of the merits of artificial intelligence (AI) in marketing and social media, harm to consumers has prompted calls for AI auditing/certification. Understanding consumers’ approval of AI certification entities is vital for its effectiveness and companies’ choice of certification. This study aims to generate important insights into the consumer perspective of AI certifications and stimulate future research.

A literature and status-quo-driven search of the AI certification landscape identifies entities and related concepts. This study empirically explores consumer approval of the most discussed entities in four AI decision domains using an online experiment and outline a research agenda for AI certification in marketing/social media.

Trust in AI certification is complex. The empirical findings show that consumers seem to approve more of non-profit entities than for-profit entities, with the government approving the most.

The introduction of AI certification to marketing/social media contributes to work on consumer trust and AI acceptance and structures AI certification research from outside marketing to facilitate future research on AI certification for marketing/social media scholars.

For businesses, the authors provide a first insight into consumer preferences for AI-certifying entities, guiding the choice of which entity to use. For policymakers, this work guides their ongoing discussion on “who should certify AI” from a consumer perspective.

To the best of the authors’ knowledge, this work is the first to introduce the topic of AI certification to the marketing/social media literature, provide a novel guideline to scholars and offer the first set of empirical studies examining consumer approval of AI certifications.