Search results

Using an ecological model of child participation and drawing on newsletter data from schools across the United States of America (USA), this chapter statistically explores five state factors linked with school protests against gun violence: (1) children’s neighbourhood opportunity; (2) race/ethnicity; (3) voter preference for either a Republican or a Democratic president; (4) child participation policies; and (5) gun laws/violence/ownership. The chapter explores factors linked to both student participation in protests and student nonparticipation in protests that take place at their schools. Three factors were found to be associated with participation and nonparticipation: children’s neighbourhood opportunity, voters’ preference, and participation policies. Findings suggest that Democratic-voting states, mediated by education opportunity, predict the frequency of student protests against gun violence. In Republican-voting states, where education opportunity does not mediate the frequency of school protests, students still organised and participated in protests but to a lesser extent. In addition, states with high overall children’s neighbourhood opportunity and voting student education board members are highly likely to have non-protesting students in schools with protests. The chapter presents five conclusions from these results for the positive and negative exercise of child participation rights and considers what further multilevel explorations can be done to further test the framework employed for this analysis.

Children's film and fiction often portray a witch as either an evil hag or an incompetent older woman yet when the male witch is within the narrative, he is named Sorcerer or Wizard, suggesting therefore that (unlike the hag) age and gender is not a factor when performing witchcraft. Moreover, the male witch identity is introduced from the position of empowerment and competency rather than prejudice. Witch identities are gendered, and the male witch is underappreciated and overlooked by the historical identity of the female witch.

This chapter analyses how the male witch is presented in selected children's film and fiction through the frameworks of Hegemonic, Hybrid, and Mosaic Masculinity. Hegemonic Masculinity demonstrates the toxic performance of the male witch, indicating to readers and audiences that to be male and a witch, a heterosexual man must be cruel and manipulative. Hybrid Masculinities relate to some patriarchal behaviours such as violent outbursts, that also blend with more empathetic and emotional behaviours. Mosaic Masculinity presents the male witch in a way that is fluid and disrupts the binary of Hegemonic and Hybrid Masculinity.

This chapter acknowledges the absence of presence of the male witch and encourages a more authentic representation of the male witch that is akin to those who practice witchcraft. There are non-toxic examples of masculinity that challenge the potential for stereotyping, hence there is a need for a better representation of what it means to be a witch within popular culture.

Past research has shown there is a relationship between body image, sexual behavior, and pleasure. However, the majority of this research has centered on heterosexual participants. In this analysis, the author considers how this relationship between body image, sexual behavior, and pleasure may look within women and genderqueer individuals who are all AFAB (assigned female at birth) with 26 out of 30 participants identifying as LGBTQIA+. The author examines perceptions of body size, body hair, and genitals to consider how intersections of social structures – specifically internalized sexism, racism, and misogyny – influence the participants’ experience of sexual interactions. Both resistance and embodiment of traditional gender norms, even as queer women and genderqueer individuals, were examined in these narratives. The majority of the moments where traditional gender norms are examined describe situations when the participants were sexually interacting with cis-gendered men.

Economic evaluations often utilise individual-patient data (IPD) to calculate probabilities of events based on observed proportions. However, this approach is limited when interest is in the likelihood of extreme biomarker values that vary by observable characteristics such as blood glucose in gestational diabetes mellitus (GDM). Here, instead of directly calculating probabilities using the IPD, we utilised flexible parametric models that estimate the full conditional distribution, capturing the non-normal characteristics of biomarkers and enabling the derivation of tail probabilities for specific populations. In the case study, we used data from the Born in Bradford study (N = 10,353) to model two non-normally distributed GDM biomarkers (2-hours post-load and fasting glucose). First, we applied fully parametric maximum likelihood to estimate alternative flexible models and information criteria for model selection. We then integrated the chosen distributions in a probabilistic decision model that estimates the cost-effective diagnostic thresholds and the expected costs and quality-adjusted life years (QALYs) of the alternative strategies (‘Testing and Treating’, ‘Treat all’, ‘Do Nothing’). The model adopts the ‘payer’ perspective and expresses results in net monetary benefits (NMB). The log-logistic and Singh-Maddala distributions offered the optimal fit for the 2-hours post-load and fasting glucose biomarkers, respectively. At £13,000 per QALY, maximum NMB with ‘Test and Treat’ (−£330) was achieved for a diagnostic threshold of fasting glucose >6.6 mmol/L, 2-hours post-load glucose >9 mmol/L, identifying 2.9% of women as GDM positive. The case study demonstrated that fully parametric approaches can be implemented in healthcare modelling when interest lies in extreme biomarker values.

This paper describes a model of “Learning to care” derived from a study exploring how care workers in care homes learn to care for people living with dementia. The “Learning to care” model is primarily informal in nature in which influences such as formalised training and organisational culture impact care outcomes indirectly rather than directly.

This study used a focused, critical ethnographic approach in two care homes in England resulting in 63 h of observation of care of people living with advanced dementia, 15 semi-structured interviews and 90 in-situ ethnographic interviews with care staff.

The findings reveal a three-level model of learning to care. At the level of day-to-day interactions is a mechanism for learning that is wholly informal and follows the maxim “What Works is What Matters”. Workers draw on resources and information within this process derived from their personal experiences, resident influences and care home cultural knowledge. Cultural knowledge is created through a worker’s interactions with colleagues and the training they receive, meaning that these organisational level influences affect care practice only indirectly via the “What Works is What Matters” mechanism.

This study makes an original contribution by explaining the nature of day-to-day informal learning processes as experienced by care workers and those living with dementia in care homes. In particular, it illuminates the specific mechanisms by which organisational culture has an effect on care practice and the limitations of formal training in influencing such practice.

This study aims to investigate the impact of entrepreneurs’ decision-making styles on enterprise performance and suggests several entrepreneurial ecosystems – factors are impacting this relationship. The authors extend this line of work by examining how regional entrepreneurial culture, educational institutional support and business and social networks mediating the relationship between entrepreneurs’ decision-making style and small medium enterprises (SME)s’ financial performance.

The data were collected through an e-survey of SME owners in New South Wales, Australia. This study developed a model combining a set of entrepreneurial ecosystem factors, entrepreneurs’ decision-making styles and SMEs’ financial performance. Data were analysed using partial least square structural equation modelling.

The results suggest regional entrepreneurial culture, educational institutional support and business and social networks mediate the relationship between entrepreneurs’ decision-making style and SMEs’ financial performance. Hence, this study developed a more complete methodical understanding of entrepreneurs’ decision-making styles and their impact on SMEs’ financial performance. This study provides deeper insights into the conditions and processes by which an entrepreneurs’ decision-making style impacts SMEs’ financial performance.

The focus of this study was to understand the relationship of entrepreneurs’ decision-making styles on SMEs’ financial performance. The authors identified that the entrepreneurs’ decision-making style positively impacts SMEs’ financial performance. This study augments the body of knowledge by proposing ways in how the entrepreneurs’ decision-making style can be more strengthened.

Altruism has an important place in shaping a healthy and developed society for the present and the future. Altruism refers to exhibiting good behavior that does not expect a reward in return. The fact that female entrepreneurs have busy working and private lives and try to be individuals who add value to life while striving for success in this intense tempo increases the investigation of altruism. This study aims to examine the differences in altruistic behaviors of female entrepreneurs according to demographic variables.

The research sample consists of 120 female entrepreneurs belonging to the Turkish community in Kosovo. T-test and one-way ANOVA analysis were applied to examine the difference between altruism and demographic characteristics.

This study determined that age and work experience influence altruism. Female entrepreneurs in the age group of 31+ had higher altruism scores than female entrepreneurs in the 21–24 and 25–30 age group. Additionally, it has been revealed that female entrepreneurs with 10 or more years of work experience have higher altruism scores than female entrepreneurs with under 1 year and 1–3 years of work experience. Findings also demonstrated that marital status, education level and income do not influence female entrepreneurs’ altruistic behaviors.

Results obtained from the research are limited to the responses given by the participants to the survey used within the scope of the research.

As Turkish women are small community living in the country, it was interesting to see that apart from their entrepreneurial spirit do they also have altruistic behavior and how this behavior differs among different demographic characteristics. To the best of the authors’ knowledge, this research will contribute to the literature as no similar study was done before.