2012
DOI: 10.1080/20445911.2011.642858
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The masculine form and its competing interpretations in French: When linking grammatically masculine role names to female referents is difficult

Abstract: Using a word association paradigm we examined the extent to which readers can overcome the specific interpretation of the grammatical masculine form in French when instructed to embrace its generic meaning. In two experiments participants were to decide whether a person introduced by a kinship term (e.g. aunt) could be part of a group represented by a role name (e.g. musicians). After the completion of the first half of the experiment, participants were explicitly reminded about the generic interpretation and … Show more

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Cited by 51 publications
(61 citation statements)
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“…In this experiment, we were particularly interested in the interaction effects of Part (I, II & III) x Kinship, to address the impact of female kinship frequency on the habitual male bias effectas instantiated by a main effect of Kinship -found in and partly in Gygax et al (2012). As Part IV was primarily present to address the opposing effects of high female kinship frequency vs. the presence of feminine form (two opposing implicit sources of information), analyses were run separately for Parts I, II and III (implicit learning), and Parts III and IV (strength of the learning process).…”
Section: Resultsmentioning
confidence: 99%
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“…In this experiment, we were particularly interested in the interaction effects of Part (I, II & III) x Kinship, to address the impact of female kinship frequency on the habitual male bias effectas instantiated by a main effect of Kinship -found in and partly in Gygax et al (2012). As Part IV was primarily present to address the opposing effects of high female kinship frequency vs. the presence of feminine form (two opposing implicit sources of information), analyses were run separately for Parts I, II and III (implicit learning), and Parts III and IV (strength of the learning process).…”
Section: Resultsmentioning
confidence: 99%
“…We then compared this model to one including Part (our prime interest), and finally one including Stereotype (as in Gygax et al, 2012). Models were tested using the lmer() function of the lmer4 package of R, and model comparisons were assessed using the anova() function, which calculate the Chi-square value of the log-likelihood in order to evaluate the difference between models, following Baayen's (2008) …”
Section: Resultsmentioning
confidence: 99%
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