Hopefulness and Hopelessness Conceptualization in Iranian Society: A Cognitive View
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: فارسی
مشاهده: 70
فایل این مقاله در 20 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JLW-14-2_005
تاریخ نمایه سازی: 14 مرداد 1405
چکیده مقاله:
This paper seeks to demonstrate the rate and cognitive model of hopelessness and hopefulness in Iranian society over five decades, from the ۱۹۷۰s to the ۲۰۱۰s. It also responds to the view that Iranians are currently experiencing greater hopelessness than in the past. Emotions prevalent in a society, including hopelessness and hopefulness, can be reflected in language. In fact, these emotions, like others, are encoded in language through cognitive mechanisms such as conceptual metaphor and linguistic construction. The study used a written and spoken corpus encompassing films, novels, news broadcasts, and official speeches, as well as the models employed—namely, Kövecses (۲۰۲۰) and findings from Construction Grammar. It was observed that hopefulness and hopelessness exhibited a fluctuating pattern across all subsets of the corpus over the five decades examined. The results indicated that hopelessness increased significantly and steadily in Iranian society over this fifty-year period, in line with global trends showing an increase in hopelessness. Moreover, regarding the cognitive model of hope, it is worth noting that Iranians conceptualize ‘‘hopelessness’’ as ‘inability’ and contrast it with ‘‘hopefulness’’ which is conceptualized in terms of an ‘object’ and ‘reliance on another entity.
کلیدواژه ها:
نویسندگان
Mehrdad Meshkinfam
Assistant Professor, Department of Linguistics, Faculty of Humanities, Bu-Ali Sina University, Hamedan, Iran.
Mehrdad Naghzguy-Kohan
Professor, Department of Linguistics, Faculty of Humanities, Bu-Ali Sina University, Hamedan, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :