scholarly journals Gender and active travel: a qualitative data synthesis informed by machine learning

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Emily Haynes ◽  
Judith Green ◽  
Ruth Garside ◽  
Michael P. Kelly ◽  
Cornelia Guell
Keyword(s):  
Machine Learning ◽  
Social Practice ◽  
Practice Theory ◽  
Social Science Research ◽  
Science Research ◽  
Active Travel ◽  
Future Research ◽  
Small Scale ◽  
Social Practice Theory ◽  
The Uk

Abstract Background Innovative approaches are required to move beyond individual approaches to behaviour change and develop more appropriate insights for the complex challenge of increasing population levels of activity. Recent research has drawn on social practice theory to describe the recursive and relational character of active living but to date most evidence is limited to small-scale qualitative research studies. To ‘upscale’ insights from individual contexts, we pooled data from five qualitative studies and used machine learning software to explore gendered patterns in the context of active travel. Methods We drew on 280 transcripts from five research projects conducted in the UK, including studies of a range of populations, travel modes and settings, to conduct unsupervised ‘topic modelling analysis’. Text analytics software, Leximancer, was used in the first phase of the analysis to produce inter-topic distance maps to illustrate inter-related ‘concepts’. The outputs from this first phase guided a second researcher-led interpretive analysis of text excerpts to infer meaning from the computer-generated outputs. Results Guided by social practice theory, we identified ‘interrelated’ and ‘relating’ practices across the pooled datasets. For this study we particularly focused on respondents’ commutes, travelling to and from work, and on differentiated experiences by gender. Women largely described their commute as multifunctional journeys that included the school run or shopping, whereas men described relatively linear journeys from A to B but highlighted ‘relating’ practices resulting from or due to their choice of commute mode or journey such as showering or relaxing. Secondly, we identify a difference in discourses about practices across the included datasets. Women spoke more about ‘subjective’, internal feelings of safety (‘I feel unsafe’), whereas men spoke more about external conditions (‘it is a dangerous road’). Conclusion This rare application of machine learning to qualitative social science research has helped to identify potentially important differences in co-occurrence of practices and discourses about practice between men’s and women’s accounts of travel across diverse contexts. These findings can inform future research and policy decisions for promoting travel-related social practices associated with increased physical activity that are appropriate across genders.

scholarly journals Towards a General Theory of Markets: A Social Practice Theory Approach

2021 ◽  
Author(s):  
◽  
Martyn James Gosling
Keyword(s):  
New Zealand ◽  
General Theory ◽  
Social Practice ◽  
Service Providers ◽  
Practice Theory ◽  
Mobile Telephone ◽  
Future Research ◽  
Theory Approach ◽  
Social Practice Theory ◽  
Academic Knowledge

<p>In recent years new conceptualisations of marketing have been founded in social practice theory. Markets and market boundaries, however, while debated, have not been re-theorised and definitions remain based in the neoclassical economics paradigm. Social practices theory provides a basis for defining markets and market boundaries by practices and their performances by market actors. This thesis advances the debate on a general theory of markets by theorising a new conceptual model of markets as social structures demarcated by nine specific categories of routinised practices described here as parameters. A qualitative study grounded within the social constructionist epistemology was conducted to explore the market practices model, particularly the categories of practices forming the parameters that define market boundaries. The New Zealand mobile telecommunications market provided an opportunity for a situational-specific exploration involving interviews with service providers, users, and regulators as actors performing in the market between 1990 and 2014, triangulated against 26-years of documentary evidence. The research enabled understanding of practices through the comparison of performances between progressive eras in the mobile telephone market in New Zealand. The findings supporting the market practice model not only advance new theory that extends our understanding of markets and market boundaries but also provide context for marketing academics. Furthermore, the model provides new perspectives for business strategy and policy development. The thesis concludes with a summary of contributions to the academic knowledge of markets and an overview of directions for future research and debate.</p>

scholarly journals Towards a General Theory of Markets: A Social Practice Theory Approach

2021 ◽  
Author(s):  
◽  
Martyn James Gosling
Keyword(s):  
New Zealand ◽  
General Theory ◽  
Social Practice ◽  
Service Providers ◽  
Practice Theory ◽  
Mobile Telephone ◽  
Future Research ◽  
Theory Approach ◽  
Social Practice Theory ◽  
Academic Knowledge

<p>In recent years new conceptualisations of marketing have been founded in social practice theory. Markets and market boundaries, however, while debated, have not been re-theorised and definitions remain based in the neoclassical economics paradigm. Social practices theory provides a basis for defining markets and market boundaries by practices and their performances by market actors. This thesis advances the debate on a general theory of markets by theorising a new conceptual model of markets as social structures demarcated by nine specific categories of routinised practices described here as parameters. A qualitative study grounded within the social constructionist epistemology was conducted to explore the market practices model, particularly the categories of practices forming the parameters that define market boundaries. The New Zealand mobile telecommunications market provided an opportunity for a situational-specific exploration involving interviews with service providers, users, and regulators as actors performing in the market between 1990 and 2014, triangulated against 26-years of documentary evidence. The research enabled understanding of practices through the comparison of performances between progressive eras in the mobile telephone market in New Zealand. The findings supporting the market practice model not only advance new theory that extends our understanding of markets and market boundaries but also provide context for marketing academics. Furthermore, the model provides new perspectives for business strategy and policy development. The thesis concludes with a summary of contributions to the academic knowledge of markets and an overview of directions for future research and debate.</p>

ESRC Review

2020 ◽  
pp. 657-698
Author(s):  
Simeon J. Yates ◽  
Jordana Blejmar
Keyword(s):  
Social Research ◽  
Social Science Research ◽  
Research Work ◽  
Science Research ◽  
Wide Range ◽  
The Us ◽  
Levels Of Automation ◽  
The Uk ◽  
Technological World ◽  
Ways Of Being

Two workshops were part of the final steps in the Economic and Social Research Council (ESRC) commissioned Ways of Being in a Digital Age project that is the basis for this Handbook. The ESRC project team coordinated one with the UK Defence Science and Technology Laboratory (ESRC-DSTL) Workshop, “The automation of future roles”; and one with the US National Science Foundation (ESRC-NSF) Workshop, “Changing work, changing lives in the new technological world.” Both workshops sought to explore the key future social science research questions arising for ever greater levels of automation, use of artificial intelligence, and the augmentation of human activity. Participants represented a wide range of disciplinary, professional, government, and nonprofit expertise. This chapter summarizes the separate and then integrated results. First, it summarizes the central social and economic context, the method and project context, and some basic definitional issues. It then identifies 11 priority areas needing further research work that emerged from the intense interactions, discussions, debates, clustering analyses, and integration activities during and after the two workshops. Throughout, it summarizes how subcategories of issues within each cluster relate to central issues (e.g., from users to global to methods) and levels of impacts (from wider social to community and organizational to individual experiences and understandings). Subsections briefly describe each of these 11 areas and their cross-cutting issues and levels. Finally, it provides a detailed Appendix of all the areas, subareas, and their specific questions.

scholarly journals Users and Social Science Research: Policy, Problems and Possibilities

1997 ◽  
Vol 2 (3) ◽  
pp. 69-81 ◽  
Author(s):  
B. Rappert
Keyword(s):  
Research Policy ◽  
Social Research ◽  
Public Funding ◽  
Social Science Research ◽  
Academic Research ◽  
User Involvement ◽  
Science Research ◽  
Research Process ◽  
The Uk ◽  
Policy Problems

Recent times have seen a significant reorientation in public funding for academic research across many countries. Public bodies in the UK have been at the forefront of such activities, typically justified in terms of a need to meet the challenges of international competitiveness and improve quality of life. One set of mechanisms advanced for further achieving these goals is the incorporation of users’ needs into various aspects of the research process. This paper examines some of the consequences of greater user involvement in the UK Economic and Social Research Council by drawing on both empirical evidence and more speculative argumentation. In doing so it poses some of the dilemmas for conceptualizing proper user involvement.

scholarly journals The Social Practices of Food Bank Volunteer Work

2021 ◽  
pp. 1-18
Author(s):  
Richard Philip Lee ◽  
Caroline Coulson ◽  
Kate Hackett
Keyword(s):  
Social Practice ◽  
Food Aid ◽  
Future Research ◽  
Food Bank ◽  
Health Crisis ◽  
Public Health Crisis ◽  
The Social ◽  
Practice Approach ◽  
The Uk ◽  
The Impact

The on-going rise in demand experienced by voluntary and community organisations (VCOs) providing emergency food aid has been described as a sign of a social and public health crisis in the UK (Loopstra, 2018; Lambie-Mumford, 2019), compounded since 2020 by the impact of (and responses to) Covid 19 (Power et al., 2020). In this article we adopted a social practice approach to understanding the work of food bank volunteering. We identify how ‘helping others’, ‘deploying coping strategies’ and ‘creating atmospheres’ are key specific (and connected) forms of shared social practice. Further, these practices are sometimes suffused by faith-based practice. The analysis offers insights into how such spaces of care and encounter (Williams et al., 2016; Cloke et al., 2017) function, considers the implications for these distinctive organisational forms (the growth of which has been subject to justified critique) and suggests avenues for future research.

Principled Machine Learning Using the Super Learner: An Application to Predicting Prison Violence

2018 ◽  
Vol 48 (3) ◽  
pp. 698-721 ◽  
Author(s):  
Valerio Baćak ◽  
Edward H. Kennedy
Keyword(s):  
Machine Learning ◽  
Social Science ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Adaptive Methods ◽  
Prison Violence ◽  
Data Set ◽  
Super Learner ◽  
Data Adaptive

A rapidly growing number of algorithms are available to researchers who apply statistical or machine learning methods to answer social science research questions. The unique advantages and limitations of each algorithm are relatively well known, but it is not possible to know in advance which algorithm is best suited for the particular research question and the data set at hand. Typically, researchers end up choosing, in a largely arbitrary fashion, one or a handful of algorithms. In this article, we present the Super Learner—a powerful new approach to statistical learning that leverages a variety of data-adaptive methods, such as random forests and spline regression, and systematically chooses the one, or a weighted combination of many, that produces the best forecasts. We illustrate the use of the Super Learner by predicting violence among inmates from the 2005 Census of State and Federal Adult Correctional Facilities. Over the past 40 years, mass incarceration has drastically weakened prisons’ capacities to ensure inmate safety, yet we know little about the characteristics of prisons related to inmate victimization. We discuss the value of the Super Learner in social science research and the implications of our findings for understanding prison violence.

scholarly journals Social practice theory and the study of how we drink

Addiction ◽  
2018 ◽  
Vol 113 (2) ◽  
pp. 217-219 ◽  
Author(s):  
Petra Meier ◽  
John Holmes ◽  
Alan Warde
Keyword(s):  
Social Practice ◽  
Practice Theory ◽  
Social Practice Theory
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