This study expands the inventory of green job titles by incorporating a global perspective and using contemporary sources. It leverages natural language processing, specifically a retrieval-augmented generation model, to identify green job titles. The process began with a search of academic literature published after 2008 using the official APIs of Scopus and Web of Science. The search yielded 1,067 articles, from which 695 unique potential green...
انظر المزيد
تفاصيل
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2024/9/16
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ورقة عمل خاصة ببحوث السياسات
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WPS10908
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1
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2024/9/16
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Disclosed
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Identification of an Expanded Inventory of Green Job Titles through AI-Driven Text Mining
تنزيل الملفات
تقرير كامل
نسخة رسمية من الوثيقة (قد تضم توقيعات، الخ)
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