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Lesson study (LS) is a collaborative form of action research. Collaboration is central to LS methodology, therefore exploring and expanding the understanding of the collaborative features that occur in LS is a priority. This paper explores the features of collaboration in existing publications on LS to consider if, as Quaresma (2020) notes, collaboration is simplistically referred to within LS research.

Utilising a qualitative review of LS literature to explore LS collaboration through Mynott's (2019) outcome model and Huxham and Vangen's (2005) theory of collaborative advantage and inertia. 396 publications using “lesson study” and “collaboration” as key words were considered and reviewed, with 26 articles further analysed and coded, generating a collaborative feature matrix.

While collaboration in LS is referred to generically in the articles analysed, the authors found examples where collaboration is considered at a meta, meso and micro level (Lemon and Salmons, 2021), and a balance between collaborative advantage and inertia. However, only a small proportion of LS publications discuss collaboration in depth and, while the matrix will support future research, more focus needs to be given to how collaboration functions within LS.

Through answering Robutti et al.'s (2016) question about what can be learnt from the existing LS research studies on collaboration, this paper builds on Mynott's (2019) outcome model by providing a detailed matrix of collaborative features that can be found in LS work. This matrix has applications beyond the paper for use by facilitators, leaders of LS, and researchers to explore their LS collaborations through improved understanding of collaboration.

Oil market VAR models have become the standard tool for understanding the evolution of the real price of oil and its impact on the macro economy. As this literature has expanded at a rapid pace, it has become increasingly difficult for mainstream economists to understand the differences between alternative oil market models, let alone the basis for the sometimes divergent conclusions reached in the literature. The purpose of this survey is to provide a guide to this literature. Our focus is on the econometric foundations of the analysis of oil market models with special attention to the identifying assumptions and methods of inference.

Recent evidence from a linear econometric framework infers that housing search activity, captured from Google Trends data, can predict housing returns for the USA at a national and regional (metropolitan statistical area [MSA]) level. Based on search theory, the authors, however, postulate that search activity can also predict housing returns volatility. This study aims to explore the possibility of using online search activity to predict both housing returns and volatility.

Using a k-th order non-parametric causality-in-quantiles test allows us to test for predictability in a robust manner over the entire conditional distribution of both housing price returns and its volatility (i.e. squared returns) by controlling for nonlinearity and structural breaks that exist in the data.

The analysis over the monthly period of 2004:01 to 2021:01 produces results indicating that while housing search activity continues to predict aggregate US house price returns, barring the extreme ends of the conditional distribution, volatility is relatively strongly predicted over the entire quantile range considered. The results carry over to an alternative (the generalized autoregressive conditional heteroskedasticity-based) metric of volatility, higher (weekly)-frequency data (over January 2018–March 2021) and to over 84% of the 77 MSAs considered.

To the best of the authors’ knowledge, this is the first study regarding predictability of overall and regional US housing price returns and volatility using search activity, based on a non-parametric higher-order causality-in-quantiles framework, which is insightful to investors, policymakers and academics.

This study aims to document the incidence and causes of deaths in custody in Senegal from 2017 to 2019 and to describe the demographic and criminal justice characteristics of decedents.

The authors examined medical records and death reports relating to all deaths occurring between January 1, 2017 and December 31, 2019 during a period of incarceration in Senegal.

Among the estimated 83,568 people incarcerated in Senegal during the study period, 83 deaths were recorded in custody; 24 in 2017, 32 in 2018 and 27 in 2019. This resulted in a rate of 1.0 deaths per 1,000 incarcerated people. Of the 83 decedents identified, 79 (95%) were males. Similar proportions of decedents were serving custodial sentences (n = 44; 53%) and awaiting trial (n = 39; 47%) at the time of death. Most deaths were recorded as being because of natural causes (n = 67; 81%); the most common causes recorded were cardiovascular disease (n = 22; 27%), cancer (n = 12; 15%) and infectious diseases (n = 11; 13%). Two people (2.4%) died by suicide, and one (1.2%) died as a result of interpersonal violence. Most deaths (n = 59; 71%) occurred in hospitals, 14 (17%) occurred in prisons and 7 (8%) occurred in prison health centers.

The authors observed a higher rate of death and a markedly lower proportion of deaths in custody in Senegal because of suicide and violence, when compared with similar studies from high-income countries. The findings of this study point to a need for greater investment in screening, health care and health promotion in custodial settings to reduce potentially preventable deaths among people in custody in Senegal.

This study aims to examine whether inmate’s social support network is related to changes in anthropometric data among individuals in Canadian correctional facilities.

Methods: A total of 754 participants in federal correctional facilities who had been incarcerated for at least six months responded to the questionnaire by interview regarding their social support network. Chi-square tests and non-parametric tests for median comparison were used to measure changes in anthropometric data [weight and body mass index (BMI)] between the date of admission into custody and the date of the interview. Subsequently, a multivariate regression analysis for BMI change was conducted to adjust for covariates such as sex, age and ethnicity.

Results: Participants who received more than two visits per month had significantly lower weight gain (2.6 kg) than those who received less than one visit per month (7.1 kg, p = 0.02). Similar results were observed for the average change in BMI (p = 0.01). The influence of an external social support network on BMI change remained significant after adjusting for covariates. Conclusions: An individual's external social support network (outside the prison environment) may protect against weight gain in correctional facilities. Given how social support will vary based on the prison context by country and jurisdiction, individual and organizational strategies should be considered to maintain a healthy social support network and increase the number of visits (at every stage of incarceration) to counteract this weight gain and its adverse health consequences.

The social support network outside the prison environment may protect against weight gain in correctional facilities. Strategies should be considered to maintain a healthy social support network and increase the number of visits to counteract this weight gain and its adverse health consequences.

This paper aims to explore how the TECH Model (testing for and treating infectious diseases and vaccination; environmental modification to prevent disease transmission; chronic disease identification and treatment; and health maintenance and education) can be used for assessing and achieving healthy prisons.

This paper explores the concepts of “health in prison” and “healthy prisons” in the context of recent research and guidance. The paper then considers the TECH Model as an approach to achieving healthy prisons.

Under each of the four TECH Model domains are tasks to achieve a healthy prison. For prisons with poor or no resources, each domain contains steps that will improve prison health and move towards a healthy prison for both prisoners and staff. Implementation can thus be “low‐TECH” or “high‐TECH” depending on the setting and the available resources and the model is specifically designed to provide options for resource‐poor as well as resource‐rich correctional settings.

The TECH Model is a first step in characterizing the components of a healthy prison and the processes to achieve this. This Model could be implemented in all levels of prisons internationally.

The emergence of the gig economy, with the growth of technology and increased use of digital solutions, has been transforming the nature of work and its organisation in different ways. The differences in technical infrastructure, access to the internet, availability of cloud computing, and ownership of digital devices influence how countries manage this transition. Besides promoting economic growth and employment opportunities, the expansion of gig work offers wider possibilities for addressing some of the structural problems that the Indian economy has faced in recent years. In this chapter, we review the nature of the gig economy in the context of informalisation, flexibility, and vulnerability associated with gig work. In many contexts, gig workers are neither formal nor informal; they are independent contractors, enjoying no benefits as formal or informal workers do. We explore the links between gig workers and those workers engaged in the informal economy; both operate with a certain degree of flexibility but are vulnerable to many risks associated with occupation, health, and social problems. The discussion also highlights the importance of making gig work more inclusive by extending its flexible employment options to more women, persons with disabilities, and those from marginalised backgrounds and utilising the gig economy in formalising the economy in general.

The purpose of this paper is to contribute to the understanding of Swedish school leaders’ relational and management work orientation, in terms of both techno and socio structure dimensions. The background is the neoliberal policy regime, underpinned by OECD and PISA, and an increased focus on school leaders’ management work.

In total, 26 school leaders in a Swedish municipality were interviewed, and their responses were analysed to score their expressed orientations in terms of techno structure (object and formal) and socio structure (person and symbolic) dimensions.

The school leaders had predominantly formal work orientations, expressed in comments about organising teams, scheduling teacher meetings, shaping working routines in meetings, making plans and (in some cases) creating an infrastructure. Scores for object (goal and result) and symbolic dimensions of their management orientation were low.

The results suggest a need to increase Swedish school leaders’ attention to object aspects, and both person and symbolic aspects of the formal or organising dimension, of their work. They also indicate the importance of establishing and communicating core symbols in compulsory schooling, like democracy and equity, to avoid external accountability pressures instrumentally shaping schools’ management.

In contrast to previous research, the analysis indicates that Swedish school leaders have a predominantly formal and organising work orientation, frequently with little clear goal and results orientation, or attention to professional needs and motivations of the teachers (important aspects of person orientation).

This research explores the subjective health experiences of women incarcerated in a provincial detention center in Ottawa, Canada.

Narrative interviews conducted with 16 previously incarcerated women were analyzed to explore how health issues shaped their experiences in detention.

Women identified a set of practices and conditions that negatively impacted health, including the denial of medication, medical treatment, and healthcare, limited prenatal healthcare, and damaged health caused by poor living conditions.

Findings suggest that structural health problems emerge in penal environments where healthcare is provided by the same agency responsible for incarceration. The incompatibility between the mandates of incarceration and healthcare suggests that responsibility for institutional healthcare should be transferred to provincial healthcare bodies.

This research responds to the lack of research on carceral health experiences within both penal scholarship and medical sociology, particularly in relation to women and those confined in jails.