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  # unga-climate-classifier
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- This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) trained to classify climate-related sentences in English using a dataset of 5,600 annotated sentences from the United Nations General Assembly Corpus. It was developed to build the Executive Comparative Climate Attention (ECCA) indicator, introduced in a [paper](https://direct.mit.edu/glep/article/doi/10.1162/glep.a.1/131712/Executive-Climate-Change-Attention-Toward-an) published in Global Environmental Politics.
 
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  # How to use
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  If you use this model or the underlying dataset or indicator, please cite:
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- > Emiliano Grossman, Malo Jan; Executive Climate Change Attention: Toward an Indicator of Comparative Climate Change Attention. Global Environmental Politics 2025; doi: https://doi-org.scpo.idm.oclc.org/10.1162/glep.a.1
 
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  ```bibtex
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  @article{grossman2025executive,
 
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  # unga-climate-classifier
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) trained to classify climate-related sentences in English using a dataset of 5,600 annotated sentences from the United Nations General Assembly Corpus. It was developed to build the Executive Comparative Climate Attention (ECCA) indicator, introduced in a [paper](https://doi.org/10.1162/glep.a.1
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+ ) published in Global Environmental Politics.
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  # How to use
 
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  If you use this model or the underlying dataset or indicator, please cite:
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+ > Emiliano Grossman, Malo Jan; Executive Climate Change Attention: Toward an Indicator of Comparative Climate Change Attention. Global Environmental Politics 2025; doi: https://doi.org/10.1162/glep.a.1
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  ```bibtex
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  @article{grossman2025executive,