Making sense of climate change: orientations to adaptation

Lynam, Timothy; Walker, Iain

doi:10.5751/es-08886-210417

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…Because there are no responses that can be perceived as obviously better than others, SenseMaker® reduces social desirability bias, and because participants interpret their own narratives using a series of pre-defined questions, the researchers' interpretation bias is also reduced. Though relatively new, SenseMaker® has emerged in recent academic literature as a valuable tool for data collection in studies related to ecology (Milne 2015), climate change (Lynam and Walker 2016), and global health (Bakhache et al 2017). Our current analysis examines data from a larger SenseMaker® study conducted in July-August 2016 exploring the experiences of Syrian girls in Lebanon (Bartels et al 2018).…”

Section: Methodsmentioning

confidence: 99%

Positive worry and negative hope: paradoxical perceptions of the experiences of Syrian refugee girls in Lebanon

Dube

Bartels

Michael

et al. 2019

Int J Humanitarian Action

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Literature on refugee well-being has largely focused on trauma, stress, and medical diagnoses. Less is known about how refugees adapt to their new contexts and experience hope for the future. This study examines the experiences of Syrian refugee girls in Lebanon through secondary qualitative analysis of SenseMaker® data. From a larger sample (n = 1422), we selected self-interpreted narratives for which there was a discordance between the self-reported emotional tone and self-reported feelings for more in-depth analysis (final sample n = 25). Our purpose was to better understand complex emotional responses to the challenging circumstances the girls experience. In our analysis, we identified three thematic categories related to the complex decisions girls face: education, marriage, and daily life as refugees. In the context of these three categories, we propose that understanding the complexity of emotional responses within a variety of intersecting spheres of life is a necessary first step in establishing realistic, relevant, and long-term community-led initiatives for displaced persons.

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Section: Methodsmentioning

confidence: 99%

Positive worry and negative hope: paradoxical perceptions of the experiences of Syrian refugee girls in Lebanon

Dube

Bartels

Michael

et al. 2019

Int J Humanitarian Action

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“…Finding shared meaning about climate change can be complicated because climate meanings are construed differently by different people, and these constructs have changed over time (Breakwell 2010;Esbjorn-Hargens 2010;Hochachka 2019;Lynam 2012Lynam , 2014Lynam , 2019Lynam and Walker 2016). Scholars in the mental models literature emphasize the need to, "unpack the elements that make up the construct of climate change" (Breakwell 2010, p. 859).…”

Section: Towards a Psychosocial Manner Of Climate Engagementmentioning

confidence: 99%

Finding shared meaning in the Anthropocene: engaging diverse perspectives on climate change

Hochachka

2021

Sustain Sci

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The scientific evidence of climate change has never been clearer and more convergent, and calls for transformations to sustainability have never been greater. Yet, perspectives and social opinions about it remain fractured, and collaborative action is faltering. Climate policy seeks to forge a singular sense of climate change, dominated by an ‘information deficit model’ that focuses on transferring climate science to the lay public. Critics argue that this leaves out certain perspectives, including the plurality of meanings uncovered through participatory approaches. However, questions remain about how these approaches can better account for nuances in the psychological complexity of climate change, without getting stuck in the cul-de-sacs of epistemological relativism and post-truth politics. In this paper, I explore an approach through which we might find shared meaning at the interface of individual and collective views about climate change. I first present a conceptual framework that describes five psychological reasons why climate change challenges individual and collective meaning-making, and also provides a way to understand how meaning is organized within that. I then use this framework to inform the use of photo voice as a transformative (action-research) method, examining its ability to overcome some of the meaning-making challenges specific to climate change. I discuss how participants from a coffee cooperative in Guatemala reflected first on their own climate meanings and then engaged in a meaning-making process with other actors in the coffee value chain. Findings suggest a psychosocial approach to climate engagement—one that engages both subjectively and intersubjectively on the complexities unique to climate change—is helpful in acknowledging an ontological pluralism of ‘climate changes’ amongst individuals, while also supporting a nexus-agreement collectively. This may in turn contribute to a more effective and ethical process of transformation.

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“…A number of recent papers discuss applications-and potential perils-of topic modeling in social science and environmental science research (Grimmer & Stewart, 2013;Grubert & Algee-Hewitt, 2017;Hillard, Purpura, & Wilkerson, 2008;Quinn, Monroe, Colaresi, Crespin, & Radev, 2010;Vilares & He, 2017;Wiedemann, 2013;Wilkerson & Casas, 2017). Nonetheless, topic modeling has barely permeated the climate change literature, with the majority of existing examples limited to studies that use social media data to analyze coverage of climate change issues (Cody, Reagan, Mitchell, Dodds, & Danforth, 2015;Jang & Hart, 2015;Kirilenko & Stepchenkova, 2014;Williams, McMurray, Kurz, & Hugo, 2015), including skepticism and belief about climate change (Boussalis & Coan, 2016;Elgesem, Steskal, & Diakopoulos, 2015;Farrell, 2016), and social representations of adaptation (Lynam, 2016;Lynam & Walker, 2016). Applications of topic modeling for adaptation research are thus largely unexplored, despite the potential to expand text-based analysis to much larger scales than is currently possible.…”

Section: This Article Is Categorized Undermentioning

confidence: 99%

Frontiers in data analytics for adaptation research: Topic modeling

Lesnikowski

Belfer

Rodman

et al. 2019

WIREs Climate Change

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Rapid growth over the past two decades in digitized textual information represents untapped potential for methodological innovations in the adaptation governance literature that draw on machine learning approaches already being applied in other areas of computational social sciences. This Focus Article explores the potential for text mining techniques, specifically topic modeling, to leverage this data for large-scale analysis of the content of adaptation policy documents. We provide an overview of the assumptions and procedures that underlie the use of topic modeling, and discuss key areas in the adaptation governance literature where topic modeling could provide valuable insights. We demonstrate the diversity of potential applications for topic modeling with two examples that examine: (a) how adaptation is being talked about by political leaders in United Nations Framework Convention on Climate Change; and (b) how adaptation is being discussed by decision-makers and public administrators in Canadian municipalities using documents collected from 25 city council archives. This article is categorized under: Vulnerability and Adaptation to Climate Change > Institutions for Adaptation K E Y W O R D S climate change adaptation, governance, policy, quantitative text analysis, topic models 1 | INTRODUCTION Text-based research methods have been a cornerstone of qualitative social science methods since the 1950s (Lasswell, 1952). These approaches see documents as meaningful artifacts that can be analyzed for their thematic and semantic content (Krippendorff, 2013), and they form a core component of the climate change adaptation governance literature. In lieu of directly observable and measurable indicators such as greenhouse gas emissions, adaptation governance research relies on written records, surveys, and interviews as its primary information sources about how different actors are responding to climate change impacts. Content analysis methods are commonly applied to sources such as government reports, strategic planning documents, peer reviewed and gray literature, and media stories (Araos et al.

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Making sense of climate change: orientations to adaptation

Cited by 5 publications

References 16 publications

Positive worry and negative hope: paradoxical perceptions of the experiences of Syrian refugee girls in Lebanon

Positive worry and negative hope: paradoxical perceptions of the experiences of Syrian refugee girls in Lebanon

Finding shared meaning in the Anthropocene: engaging diverse perspectives on climate change

Frontiers in data analytics for adaptation research: Topic modeling

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