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Utilising Poetry Dynamic Criteria Mapping (PDCM) to analyse how comparable liberal arts institutions evaluate poetry
New Writing ( IF 0.2 ) Pub Date : 2019-12-12 , DOI: 10.1080/14790726.2019.1699119
Abigail Kauerauf 1
Affiliation  

ABSTRACT In We Need To Talk: A New Method for Evaluating Poetry (2018), Michael Theune and Bob Broad present a study that uses a version of their ‘Poetry Dynamic Criteria Mapping’ (PDCM) methodology to empirically and inductively investigate the implicit criteria in the selection of poems in creative arts journals. I employ a version of PDCM in my study. I coded and analysed 752 poems from the past three years’ issues of nine creative arts journals from liberal arts institutions in the same academic conference. Two important patterns emerged: (1) the vast majority of the poems are outgrowths of confessional poetry: free verse, serious, introspective, and focused on emotion; and (2) few poems seem aligned with other values, including those espoused by avant-garde, slam, and socially and politically engaged poetry.

中文翻译:

利用诗歌动态标准映射 (PDCM) 分析可比较的文科机构如何评估诗歌

摘要在《我们需要谈谈:评价诗歌的新方法》(2018 年)中,Michael Theune 和 Bob Broad 提出了一项研究,该研究使用他们的“诗歌动态标准映射”(PDCM)方法的一个版本对诗歌中的隐含标准进行实证和归纳研究。创作艺术期刊诗选。我在研究中使用了 PDCM 的一个版本。我在同一个学术会议上编码和分析了过去三年来自文科机构的九种创意艺术期刊的 752 首诗。出现了两种重要的模式:(1)绝大多数诗歌都是自白诗的产物:自由诗、严肃、内省、注重情感;(2) 很少有诗歌与其他价值观保持一致,包括那些被前卫、大满贯以及社会和政治参与的诗歌所支持的诗歌。
更新日期:2019-12-12
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