The City of Saskatoon’s Local Area Planning Program: A Case Study

The City of Saskatoon’s Local Area Planning (LAP) Program is a community-based approach to developing comprehensive neighbourhood plans. In order to achieve sustainable and implementable Local Area Plans (LAPs), the City of Saskatoon has been using innovative methods of collaborative decision-making to engage citizens. The program has been recognized nationally by the Federation of Canadian Municipalities for demonstrating innovative approaches to citizen engagement in Sustainable Community Planning. A total of eight LAPs have been adopted by City Council and 212 recommendations have been approved, with 101 of these recommendations being completed, 71 currently in progress and 40 to be determined. Great strides have been made to implement the LAPs by allocating resources for coordinating implementation, working with communities, and for implementing the various recommendations. In addition, over 1,000 people representing various interests have participated in one or more LAP Committee or implementation meetings. Through this participation, partnerships have been formed, program and service delivery has been improved, and most importantly, communities have taken ownership of their plans. After completing eight LAPs, the LAP communities, City Council and city planners have felt the need to measure ongoing changes and progress in the LAP communities. In recognition of this, the City of Saskatoon’s City Planning Branch will be working with LAP communities, the Community-University Institute for Social Research (CUISR) and other stakeholders to develop a framework for statistically measuring changes in LAP communities and to monitor “Neighbourhood Success Factors”. The Neighbourhood Success Factors will work to detect serious socio-economic conditions before they reach a point of crisis. This paper will first describe the LAP Program before reviewing the proposed framework for statistically measuring changes in Saskatoon’s neighbourhoods.

Physical activity is inversely related to drug consumption in elderly patients with cardiovascular events

Elderly patients with cardiovascular events are characterized by high drug consumptions. Whether high drug consumptions are related to physical activity is not known. In order to examine whether physical activity is related to drug consumption in the elderly, patients older than 65 years (n?=?250) with a recent cardiovascular event were studied. Physical activity was analyzed according to the Physical Activity Scale for the Elderly (PASE) score and related to drug consumption. PASE score was 72.4?±?45.0 and drug consumption was 8.3?±?2.2. Elderly patients with greater comorbidity took more drugs (8.7?±?2.1) and are less active (PASE?=?64.4?±?50.6) than patients with Cumulative Illness Rating Scale severity score higher than 1.8 than those with a score lower than 1.8 (76.3?±?41.4, p?<?0.05, and 8.0?±?2.0, p?=?0.006, respectively). Multivariate analysis correlation confirmed that PASE score is negatively associated with drug consumption (β?=??0.149, p?=?0.031), independently of several variables including comorbidity. Thus, physical activity is inversely related to drug consumption in elderly patients with cardiovascular events. This inverse relationship may be attributable to the high degree of comorbidity observed in elderly patients in whom poor level of physical activity and high drug consumption are predominant.     

Diffusive nested sampling

We introduce a general Monte Carlo method based on Nested Sampling (NS), for sampling complex probability distributions and estimating the normalising constant. The method uses one or more particles, which explore a mixture of nested probability distributions, each successive distribution occupying ∼e ⁻¹ times the enclosed prior mass of the previous distribution. While NS technically requires independent generation of particles, Markov Chain Monte Carlo (MCMC) exploration fits naturally into this technique. We illustrate the new method on a test problem and find that it can achieve four times the accuracy of classic MCMC-based Nested Sampling, for the same computational effort; equivalent to a factor of 16 speedup. An additional benefit is that more samples and a more accurate evidence value can be obtained simply by continuing the run for longer, as in standard MCMC.     

Family-Enterprise Initiatives as a Response to Socioeconomic and Political Change in Eastern and Central Europe

It is argued that family business enterprises can be an adaptive response to the transformations that recently have characterized Eastern and Central Europe. Family-centered initiatives are important for sustainable socioeconomic development. In this article, a family-enterprise incubator scheme for the stimulation of family and socioeconomic development is discussed. This approach incorporates resources, services, and supports beyond those conventionally offered.     

Oral History: Snapshots from a Family Album

This piece presents six short scenes from the conception of twins by alternative insemination through gender determination and birth, to the first vaccination. It shows that the question “Who is the real mother?” is just as important as the question “Is your baby a boy or a girl?”     

Skewed Sex Ratios at Birth in Italian Migrant Populations: Evidence from a Longitudinal Register 1999–2017

European Journal of Population - Many studies in different settings have suggested that migrants from countries with skewed sex ratios at birth tend to adjust the sex of their offspring to ensure...     

Childbearing among Polish migrant women and their descendants in Sweden: an origin-destination country approach

Journal of Population Research - This paper examines the childbearing behaviour of Polish migrant women and their descendants in Sweden. Also considering stayers in the country of origin, we rely...     

Patterns of Attachment and Emotional Competence in Middle Childhood

The study investigated the relationship between patterns of attachment and emotional competence at the beginning of middle childhood in a sample of 122 seven‐year‐olds. A new battery of tasks was developed in order to assess two facets of emotional competence (emotion recognition and knowledge of regulation strategies). Attachment was related to the choice of emotion regulation strategies in hypothetical situations; secure children produced the highest frequency of cognitive engagement strategies (e.g., reappraisal), and disorganized children the lowest. Insecure children produced more behavioral engagement strategies and fewer behavioral diversion ones. There was a minor effect of attachment on emotion recognition, with disorganized children scoring lower in the discrimination of facial expression. Consistent sex differences were also apparent in the direction of a female advantage in emotional competence: Girls scored higher in emotion recognition than boys, and in the regulation knowledge task, they produced fewer helpless answers and more cognitive engagement strategies.     

A relational analysis of migration in old age: How transnational ties affect migration decisions

Recently, the role of personal ties in migration decisions has received considerable attention. However, this aspect has seldom been studied in the context of retirement. This paper addresses this gap by shedding light on the composition of personal networks, types of mobility patterns and retirement locations for four groups of older adults. To this end, two methodological approaches are employed: (1) a qualitative Social Network Analysis to examine the composition of older adults' personal networks and (2) thematic coding to analyse the relational aspects of migration decisions. This paper draws on 29 semi-structured interviews conducted in Spain and Switzerland in 2020 and 2021. The findings demonstrate that pre-retirement migration trajectories shape personal network composition. Moreover, personal ties play a critical role in older adults' mobility patterns and choices of retirement location. Overall, this study provides valuable insights into the impact of personal networks on migration decisions of older adults.