Contrasting the climate change emergency represents one of the major challenges of modern times. Knowing how people represent ecology-related phenomena is crucial to inform interventions aimed at promoting more effective proenvironmental behaviors. Despite this, literature on the topic is still scarce. To fill this gap, we asked 340 participants to rate 200 concepts—among which Ecological (N = 50, e.g., deforestation)—on numerous semantic dimensions (N = 39), drawing insights from the literature on conceptual organization. A Principal Component Analysis on our dataset revealed the presence of three major components explaining overall the variability of our set of concepts. Interestingly, Ecological concepts had a major role in all of them. Indeed, when compared to other conceptual categories—both related (i.e., Natural—e.g., water—and Geographical/Geopolitical— e.g., ocean, city) and not related (i.e., Technological—e.g., Internet) to the green domain—they figured among the most abstract (Component 1), impacting our political, social, and personal spheres (Component 2), scientific, emotionally charged, and evoking sensorimotor experiences (Component 3) concepts. Overall, our study has a threefold relevance. On a theoretical side, it can contribute to enriching theories on concepts by investigating a new semantic domain that jeopardizes the concrete-abstract dichotomy; on a scientific side, it might broaden categorization research by providing semantic norms for new conceptual domains (the TECo Database); on a societal side, it can enhance politics on these timely themes.

The TECo Database: Insights on The Semantic Organization of The Ecological Domain / Falcinelli, I.; Fini, C.; Mazzuca, C.; Borghi, A.. - 46:(2024), pp. 1839-1847. (Intervento presentato al convegno The 46th Annual Meeting of the Cognitive Science Society tenutosi a Rotterdam).

The TECo Database: Insights on The Semantic Organization of The Ecological Domain.

Falcinelli I.
;
Fini C.;Mazzuca C.;Borghi A.
2024

Abstract

Contrasting the climate change emergency represents one of the major challenges of modern times. Knowing how people represent ecology-related phenomena is crucial to inform interventions aimed at promoting more effective proenvironmental behaviors. Despite this, literature on the topic is still scarce. To fill this gap, we asked 340 participants to rate 200 concepts—among which Ecological (N = 50, e.g., deforestation)—on numerous semantic dimensions (N = 39), drawing insights from the literature on conceptual organization. A Principal Component Analysis on our dataset revealed the presence of three major components explaining overall the variability of our set of concepts. Interestingly, Ecological concepts had a major role in all of them. Indeed, when compared to other conceptual categories—both related (i.e., Natural—e.g., water—and Geographical/Geopolitical— e.g., ocean, city) and not related (i.e., Technological—e.g., Internet) to the green domain—they figured among the most abstract (Component 1), impacting our political, social, and personal spheres (Component 2), scientific, emotionally charged, and evoking sensorimotor experiences (Component 3) concepts. Overall, our study has a threefold relevance. On a theoretical side, it can contribute to enriching theories on concepts by investigating a new semantic domain that jeopardizes the concrete-abstract dichotomy; on a scientific side, it might broaden categorization research by providing semantic norms for new conceptual domains (the TECo Database); on a societal side, it can enhance politics on these timely themes.
2024
The 46th Annual Meeting of the Cognitive Science Society
Ecological concepts; rating task; Principal Component Analysis; conceptual organization; semantic norms.
04 Pubblicazione in atti di convegno::04c Atto di convegno in rivista
The TECo Database: Insights on The Semantic Organization of The Ecological Domain / Falcinelli, I.; Fini, C.; Mazzuca, C.; Borghi, A.. - 46:(2024), pp. 1839-1847. (Intervento presentato al convegno The 46th Annual Meeting of the Cognitive Science Society tenutosi a Rotterdam).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1721184
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