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Record W6989692966

Building Community Climate Change Mobilization Through The Use of The War Metaphor? Researching a Grand Strategy For Climate Change Resilience, a Presentation and Facilitated Discussion

2023· article· en· W6989692966 on OpenAlexaboutno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsMetaphorDivestmentClimate changePolitical economy of climate changeSustainabilityPsychological resilienceConversationPresentation (obstetrics)Community resilience
DOInot available

Abstract

fetched live from OpenAlex

Adam R. Zemans Executive Director, Environment Las Americas PhD Candidate, Nova Southeastern University Department of Conflict Resolution Studies Presentation Title: Building Community Climate Change Mobilization Through The Use of The War Metaphor? Researching a Grand Strategy For Climate Change Resilience, a Presentation and Facilitated Discussion Abstract Are Conflict Resolution Studies scholar-practitioners losing the “war” against climate change? Could a war metaphor help to build an “army” for sustainability mobilization in order to adapt to and mitigate the worst negative impacts of climate change? After presenting on the work of the Maine Governor’s Office on Policy Innovation and the Future (GOPIF)’s Community Resilience Partnership, the presenter poses this question to the audience in a facilitated conversation that serves as research in the development of a Grand Strategy for Climate Change Resilience. On the one hand, the role of a war metaphor as a tool in climate communications allows us to frame both the problem and the mechanisms of action to solve the problem. The metaphor tends to mobilize resources. For instance, Mangat and Dalby (2018) leverage a war metaphor to discuss the Fossil Fuel Divestment Movement. Moreover, in Flusberg et al. (2017) research regarding framing, the authors find that metaphors shape attitudes toward climate change; the use of a war metaphor resulted in more urgency and risk perception. People exhibited increased conservation behavior. Furthermore, as Mangat and Dalby (2018) articulate, climate change is a complex concept with multiple factors interacting together. The divestment movement makes the process of climate action simpler by naming an enemy. Destruction of this enemy requires radical change inside existing systems, especially political and economic systems. On the other hand, Yoder (2018, para. 29 and 46) emphasizes that “war” denotes conflict and “inevitably [makes] enemies of other people”, “stokes partisanship”, “widens any divide while simultaneously obscuring grounds for agreement.” Furthermore, Roberts (2013) underlines that in war enormous quantities of resources are required. But some cities in the United States declared climate change emergencies have not required big government interventions. In sum, the use of a war metaphor as a tool in climate change resilience mobilization has costs and benefits and, like any rhetorical tool, must be used with specific goals and contexts in mind as well as a sound plan. Keywords: Climate Change Communications War Metaphor Climate Change Resilience Climate Change Adaptation Citizen Science Community Science Sustainability Science Citizen Stewardship Climate Change Governance References Flusberg, S. J., Matlock, T., & Thibodeau, P. H. (2017). Metaphors for the war (or race) against climate change. Environmental Communication, 11(6), 769-783. http://dx.doi.org/10.1080/17524032.2017.1289111 Mangat, R., Dalby, S., Kapuscinski, A. R., & Moore, M. L. (2018). Climate and wartalk: Metaphors, imagination, transformation. Elementa: Science of the Anthropocene, 6. Retrieved March 15, 2022, from https://online.ucpress.edu/elementa/article/doi/10.1525/elementa.313/112823/Climate-and-wartalk-Metaphors-imagination Roberts, D. (2013, May 02). What would ‘wartime mobilization’ to fight climate change look like?. Grist Magazine. https://grist.org/climate-energy/what-would-wartime-mobilization-to-fight-climate-change-look-like/ Yoder, D. (2018, December 05). War of words. Grist Magazine. https://grist.org/climate/the-war-on-climate-the-climate-fight-are-we-approaching-the-problem-all-wrong/ Presenter Information: Adam R. Zemans is deeply committed to helping cultivate leadership, cooperation and dialogue toward protecting coasts and lakes and promoting stewardship in the face of unprecedented environmental impacts, particularly related to climate change and its comprehensive collateral effects. Adam views governments, more than anything, as a learning communities that are entrusted with gathering and disseminating a variety of data at a pace and level of quality that exceeds the speed and force of those impacts. Adam is a strong believer, teacher and student of Citizen Science, Sustainability Science and coastal and lake stewardship as integral parts of the “Sustainability Revolution.” Adam is a PhD Candidate in Conflict Resolution Studies at Nova Southeastern University, with a dissertation focus on collaborative stakeholder risk and vulnerability assessment in the face of climate change impacts in Maine’s watersheds and on its coasts. He is in the process of relaunching the not-for-profit organization that he founded in 2005 in Bolivia, South America, Environment las Americas. Until February of 2023, Adam served as Executive Director of the United States’ oldest and one of its largest citizen lake monitoring organizations, based in Maine, USA. Previous experience includes leading a multi-track diplomacy organization based out of Virginia. In 2006, Adam transformed Environment Las Americas’ programming to center on transdisciplinary climate change science, policy and diplomacy. Adam holds a Juris Doctor degree from Georgetown Law Center; a Masters in Social Work from the University of Southern California with an organizational leadership focus and military social work sub concentration; a Masters in Conflict Analysis and Resolution from George Mason University; and a Masters in Sociology from York University, Toronto, Canada. He is a Phi Beta Kappa graduate of Oberlin College and Harry S. Truman Scholar (New York, 1989). He began his higher education on The National Audubon Society Expedition Institute. Adam is a Maryland-licensed attorney and lives in and loves Blue Hill, Maine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.250
GPT teacher head0.353
Teacher spread0.103 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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