A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Ego-centered motion metaphors of time across methods
Tekijät: Dhifallah, Asma
Kustantaja: John Benjamins Publishing Company
Kustannuspaikka: AMSTERDAM
Julkaisuvuosi: 2025
Journal: Review of Cognitive Linguistics
Tietokannassa oleva lehden nimi: Review of Cognitive Linguistics
Lehden akronyymi: REV COGN LINGUIST
Sivujen määrä: 33
ISSN: 1877-9751
eISSN: 1877-976X
DOI: https://doi.org/10.1075/rcl.00226.dhi
Verkko-osoite: https://doi.org/10.1075/rcl.00226.dhi
Tiivistelmä
This paper benefits two audiences: researchers studying time metaphors and those employing introspective, corpus-based, and psycholinguistic methods. It is well-suited for methodology courses and for scholars exploring how these approaches intersect. Using a case study on Ego-centered Motion Metaphors of Time (EMTs), the paper examines the methodological and ontological challenges of shifting between these paradigms. It outlines the often-implicit tenets of introspective frameworks, defines linguistic illustrations, and distinguishes among encountered, prompted, and intuited examples. It also presents an analysis of commonly cited EMTs and shows how introspective definitions converge on similar prototypical illustrations. It then compares corpus retrieval strategies across eight studies. The findings show how introspective definitions are confronted with corpus data, particularly when translating introspective input into search prompts, and how data cleansing fosters new classifications. Finally, the paper identifies the limitations of corpus-based methods and highlights the types of questions that are better addressed through psycholinguistic data.
This paper benefits two audiences: researchers studying time metaphors and those employing introspective, corpus-based, and psycholinguistic methods. It is well-suited for methodology courses and for scholars exploring how these approaches intersect. Using a case study on Ego-centered Motion Metaphors of Time (EMTs), the paper examines the methodological and ontological challenges of shifting between these paradigms. It outlines the often-implicit tenets of introspective frameworks, defines linguistic illustrations, and distinguishes among encountered, prompted, and intuited examples. It also presents an analysis of commonly cited EMTs and shows how introspective definitions converge on similar prototypical illustrations. It then compares corpus retrieval strategies across eight studies. The findings show how introspective definitions are confronted with corpus data, particularly when translating introspective input into search prompts, and how data cleansing fosters new classifications. Finally, the paper identifies the limitations of corpus-based methods and highlights the types of questions that are better addressed through psycholinguistic data.
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