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Since Angus Campbell and colleagues introduced the Levels of Conceptualization (LoC) framework as a measure of political sophistication, only a very small number of scholars have applied this approach to understanding how electors view political actors. In 2008, Michael Lewis-Beck and colleagues replicated this foundational study and found similar results using much more recent data on American national elections. In this brief research report, we replicate the work of Lewis-Beck and colleagues in the Canadian municipal context. Using survey data from the Canadian Municipal Election Study, we make use of open-ended responses about attitudes towards mayoral candidates to conduct a qualitative examination of the manner in which survey respondents from eight Canadian cities view mayoral candidates. Despite the relative dearth of ideological cues at the local level, we nevertheless find that a noteworthy portion of the electorate views candidates in ideological terms. Like previous work on the subject, we find that high levels of conceptualization are positively associated with turnout, education, political knowledge, and 'political involvement'.

Since Angus Campbell and colleagues first introduced the "levels of conceptualization" (LoC) framework as a measure of political sophistication, a number of scholars have applied the approach to subsequent American national elections. In this study, we present the first application of the LoC framework to a municipal election, and focus upon the 2018 Toronto mayoral race. After describing the method and data we use to adapt the framework to this new context, we replicate previous analyses, and find that LoC is related to local voter turnout and several measures of political sophistication. We then consider the question of whether major candidates were discussed at different LoC, and if their supporters view local politics at different LoC. We conclude by making the case that the LoC framework is helpful for resolving the debate over whether local politics are ideological or managerial in nature.

There is substantial evidence that voters' choices are shaped by assessments of the state of the economy and that these assessments, in turn, are influenced by the news. But how does the economic news track the welfare of different income groups in an era of rising inequality? Whose economy does the news cover? Drawing on a large new dataset of US news content, we demonstrate that the tone of the economic news strongly and disproportionately tracks the fortunes of the richest households, with little sensitivity to income changes among the non-rich. Further, we present evidence that this pro-rich bias emerges not from pro-rich journalistic preferences but, rather, from the interaction of the media's focus on economic aggregates with structural features of the relationship between economic growth and distribution. The findings yield a novel explanation of distributionally perverse electoral patterns and demonstrate how distributional biases in the economy condition economic accountability.

© 2016, Society of General Internal Medicine. Background: The influence of societal inequities on health has long been established, but such content has been incorporated unevenly into medical education and clinical training. Structural competency calls for medical education to highlight the important influence of social, political, and economic factors on health outcomes. Aim: This article describes the development, implementation, and evaluation of a structural competency training for medical residents. Setting: A California family medicine residency program serving a patient population predominantly (88 %) with income below 200 % of the federal poverty level. Participants: A cohort of 12 residents in the family residency program. Program Description: The training was designed to help residents recognize and develop skills to respond to illness and health as the downstream effects of social, political, and economic structures. Program Evaluation: The training was evaluated via qualitative analysis of surveys gathered immediately post-training (response rate 100 %) and a focus group 1 month post-training (attended by all residents not on service). Discussion: Residents reported that the training had a positive impact on their clinical practice and relationships with patients. They also reported feeling overwhelmed by increased recognition of structural influences on patient health, and indicated a need for further training and support to address these influences.

Context Warren ripping has been demonstrated to be an effective tool for controlling rabbit populations. However, few studies have examined factors influencing the rate at which ripped warrens are likely to be recolonised (i.e. be re-opened). Aims To examine factors influencing the recolonisation of ripped warrens by rabbits by using data collected on 555 warrens for up to 15 years following coordinated ripping programs at 12 sites in Victoria, south-eastern Australia. Methods Warren-monitoring data (number of active and inactive warren entrances) were analysed using discrete-time survival analysis to determine the effects of warren-level and site-level covariates on the recolonisation of ripped warrens. Key results Warren recolonisation was related to the distance between the ripped warren and the nearest active warren, the number of active entrances in the nearest warren, the initial number of active entrances in the ripped warren and the rabbit spotlight abundance index at the site. The probability of warren recolonisation was highest for ripped warrens within 1 km of an active warren and negligible beyond 3 km. The probability of warren recolonisation also increased by 22% for every increase in the rabbit spotlight count at the site by 10 rabbits km–1. Conclusions The recolonisation of ripped warrens was highly influenced by both the distance to, and size of, neighbouring active warrens. Larger warrens also appear to be preferentially recolonised compared with smaller warrens, suggesting that recolonisation of ripped areas may be related to habitat quality. The present results are consistent with ideas from classical metapopulation theory predicting that the rates of colonisation of vacant patches are dependent on both the proximity and size of the source population as well as the quality of habitat patches. Implications Although coordinated warren ripping programs are effective at achieving long-term control of rabbits, their efficiency at maintaining low rabbit populations can be increased by adopting an adaptive monitoring program that incorporates warren size and the spatial relationships among warrens, and using this information to better target maintenance-control activities.

While Quebec is well known for its provincial level party politics and thriving nationalism, voting behaviour and electoral campaigning at the municipal level have failed to gain much attention to date. Voting in Quebec Municipal Elections seeks to transform the state of municipal elections research in Quebec through a systematic study of the 2017 Montreal and Quebec City elections. Drawing upon data from the Canadian Municipal Election Study, the authors demonstrate not only the importance of Quebec municipal politics, but the many ways that municipal elections research can inform our broader understanding of voting behaviour in the province. This volume considers features particular to the Quebec local context, such as the importance of language and nationalism, the effects of local party labels for down ballot races, and the role of ideology. Voting in Quebec Municipal Elections represents the largest ever collection of work on local elections in the province's history, making a significant contribution to our understanding of the municipal voter in Quebec

Copyright © 2020 Neff et al. Introduction: Research on disparities in health and health care has demonstrated that social, economic, and political factors are key drivers of poor health outcomes. Yet the role of such structural forces on health and health care has been incorporated unevenly into medical training. The framework of structural competency offers a paradigm for training health professionals to recognize and respond to the impact of upstream, structural factors on patient health and health care. Methods: We report on a brief, interprofessional structural competency curriculum implemented in 32 distinct instances between 2015 and 2017 throughout the San Francisco Bay Area. In consultation with medical and interprofessional education experts, we developed open-ended, written-response surveys to qualitatively evaluate this curriculum's impact on participants. Qualitative data from 15 iterations were analyzed via directed thematic analysis, coding language, and concepts to identify key themes. Results: Three core themes emerged from analysis of participants' comments. First, participants valued the curriculum's focus on the application of the structural competency framework in real-world clinical, community, and policy contexts. Second, participants with clinical experience (residents, fellows, and faculty) reported that the curriculum helped them reframe how they thought about patients. Third, participants reported feeling reconnected to their original motivations for entering the health professions. Discussion: This structural competency curriculum fills a gap in health professional education by equipping learners to understand and respond to the role that social, economic, and political structural factors play in patient and community health.

This chapter outlines legal, institutional and political means to support climate change adaptation and mitigation, to enhance resilience, and to reduce vulnerability through more inclusive water management, especially at the country level.