口语种族化还是种族化:来自波多黎各听众横向变体感知的证据

IF 0.2 4区 文学 0 LANGUAGE & LINGUISTICS
Jorge E. Ramos, Christine Shea
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引用次数: 0

摘要

摘要:在这项研究中,我们发现波多黎各听众对横向变体的感知会随着听众认为谁在说话而变化。波多黎各听众听到的句子中的目标词要么是rhotic[ɾ],要么是lateral[l](amo[\638]–amo[l])尾音,这是波多黎各西班牙语中常见的一种社会语音交替。在四种以存在或不存在社交线索为特征的条件下,听众根据五个Likert项目来评判演讲者:诚实、智力、社会经济地位、职业道德和愉悦感。条件1仅包括社会语音变体,而条件2、3和4包括关于说话者国籍(国旗,波多黎各或多米尼加)或种族表型(人的照片)或国籍和种族表型的信息。结果表明,在只有社会语音变体的条件下(没有额外的说话者信息),听众对横向变体的评价更为负面。然而,在提供说话者信息的三种情况下,听众对种族表型和国籍的感知会显著影响评分,几乎没有与语音变体的交互作用。这些结果表明,对社会语音变体(条件1)的显著影响被对说话者种族表型和国籍的感知所掩盖。换句话说,种族化的言论很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speaking Race or Racialized Speaking: Evidence from Perceptions of Lateral Variants by Puerto Rican Listeners
Abstract:In this study we show that the perception of lateral variants by Puerto Rican listeners changes according to who the listener believes is speaking. Puerto Rican listeners heard sentences with target words featuring either rhotic [ɾ] or lateral [l] (amo[ɾ] – amo[l]) codas, a sociophonetic alternation that is common in Puerto Rican Spanish. Across four conditions characterized by the presence or absence of social cues, listeners judged speakers on five Likert items: honesty, intelligence, SES, work ethic, and pleasantness. Condition 1 included only the sociophonetic variant while conditions 2, 3 and 4 included information about speaker nationality (flag, either Puerto Rican or Dominican), or racial phenotype (pictures of people) or both nationality and racial phenotype. The results revealed that for the sociophonetic variant only condition (no additional speaker information), listeners rated the lateral variant more negatively. However, for the three conditions where speaker information was provided, ratings were significantly affected by listeners’ perception of racial phenotype and nationality, with almost no interaction with phonetic variant. These results suggest that what was a significant effect for sociophonetic variant (condition 1) was overshadowed by perceptions of speaker racial phenotype and nationality. In other words, racialized speaking matters.
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CiteScore
0.30
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发文量
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