语法性别对性别推断的影响:来自法语混合名词的证据

IF 1.1 2区 文学 0 LANGUAGE & LINGUISTICS Linguistics Vanguard Pub Date : 2024-03-18 DOI:10.1515/lingvan-2022-0064
Benjamin Storme, Laura Delaloye Saillen
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引用次数: 0

摘要

越来越多的研究表明,读者和听众在推断指代对象的性别时,会受到名词语法性别的影响。这一结果在有关性别公平语言的争论中占据核心地位,但大部分研究都是在使用阳性属词的情况下得出的。本文介绍了两项预先登记的法语研究,旨在使用一种研究较少的名词类型:通用混合名词来复制这一结果。这些名词既可指男性个体,也可指女性个体,但根据名词的不同,有的为阳性,有的为阴性(如 un talent "天才 "和 une vedette "明星")。混合名词同时具有两种性别,这使得我们可以比阳性属词更全面地检验语法性别的影响。总体而言,本文重复了语法偏差在性别推断中的作用,与阴性混合名词相比,阳性混合名词被判断为更有可能指代男性个体。然而,结果并没有显示出女性名词的对称性偏误,女性名词被解释为性别中性。但对后一结果的解释应谨慎,因为这可能是由于研究中使用的特定刺激物所产生的性别刻板印象的不可控影响。
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Effects of grammatical gender on gender inferences: Evidence from French hybrid nouns
A growing body of research shows that readers and listeners are biased by the grammatical gender of a noun when making inferences about the gender of its referent. This result is central in debates about gender-fair language but has mostly been established using masculine generics. This paper presents two preregistered studies on French that aim to replicate this result but using a lesser-studied type of noun: generic hybrid nouns. These nouns can refer to both male and female individuals but are either masculine or feminine, depending on the noun (e.g. un talent ‘a talent’ and une vedette ‘a star’). The availability of both genders for hybrid nouns allows for a more comprehensive test of the effect of grammatical gender than permitted by masculine generics. Overall, the paper replicates the role of grammatical biases in gender inferences, with masculine hybrid nouns being judged as more likely to refer to male individuals as compared to feminine hybrid nouns. However the results did not reveal a symmetric bias for feminine nouns, which were interpreted as gender-neutral. But this latter result should be interpreted with caution as it could be due to uncontrolled effects of gender stereotypes coming from the specific stimuli used in the study.
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来源期刊
CiteScore
2.00
自引率
18.20%
发文量
105
期刊介绍: Linguistics Vanguard is a new channel for high quality articles and innovative approaches in all major fields of linguistics. This multimodal journal is published solely online and provides an accessible platform supporting both traditional and new kinds of publications. Linguistics Vanguard seeks to publish concise and up-to-date reports on the state of the art in linguistics as well as cutting-edge research papers. With its topical breadth of coverage and anticipated quick rate of production, it is one of the leading platforms for scientific exchange in linguistics. Its broad theoretical range, international scope, and diversity of article formats engage students and scholars alike. All topics within linguistics are welcome. The journal especially encourages submissions taking advantage of its new multimodal platform designed to integrate interactive content, including audio and video, images, maps, software code, raw data, and any other media that enhances the traditional written word. The novel platform and concise article format allows for rapid turnaround of submissions. Full peer review assures quality and enables authors to receive appropriate credit for their work. The journal publishes general submissions as well as special collections. Ideas for special collections may be submitted to the editors for consideration.
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