Dialogues in the Dark - Interpreting Heavenly Questions Across Two Millennia

Dialogues in the Dark traces how Chinese readers and scholars since the Han dynasty have variously interpreted the ancient poem "Heavenly Questions" (Tianwen), an enigmatic work attributed to Qu Yuan (fl. ca. 300 BCE). The poem, composed entirely in the form of questions, is an extended inquiry into early Chinese cosmology and history. Over centuries, readers of the poem came to radically different understandings, each providing a unique perspective on its meaning. The poem's reception history comprises three main stages: first, the commentary compiled by Han scholar Wang Yi (ca. 89-ca. 158); second, the response by Tang poet Liu Zongyuan (773-819); and third, the interpretations developed subsequently by late imperial and modern scholars. Nicholas Morrow Williams analyzes how the poem's meaning evolved in different time periods and provides three new translations of "Heavenly Questions" to represent the three stages, respectively. The ultimate thesis of this study, inspired by the hermeneutics of Hans-Georg Gadamer, is that this poem is best understood in light of the different interpretations supplied by readers over time in lively dialogues that continue even now.

About the author

Nicholas Morrow Williams is Professor of Chinese at Arizona State University.

Product details

• Authors: Nicholas Morrow Williams, Williams Nicholas Morrow
• Publisher: Harvard University Press
• Languages: English
• Product format: Hardback
• Released: 22.07.2025
• EAN: 9780674299993
• ISBN: 978-0-674-29999-3
• No. of pages: 400
• Series: Harvard-Yenching Institute Monograph Series
• Subjects: Humanities, art, music > Linguistics and literary studies > General and comparative literary studies; China, Poetry, LITERARY CRITICISM / Poetry, LITERARY CRITICISM / Ancient & Classical, LITERARY CRITICISM / Asian / Chinese, POETRY / Asian / Chinese, Literature: history & criticism, Literature: history and criticism, Literary studies: ancient, classical and medieval