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Language fairness for all: Inclusive writing reduces male-default bias in adolescents across reading levels

Published online by Cambridge University Press:  25 August 2026

Morgane Burnel*
Affiliation:
Université de Poitiers, Université de Tours, CNRS, CeRCA, Poitiers, France
Marjorie Guillou
Affiliation:
Université de Reims Champagne-Ardenne, C2S, Reims, France
Lauriane Véron-Delor
Affiliation:
Université de Poitiers, Université de Tours, CNRS, CeRCA, Poitiers, France
*
Corresponding author: Morgane Burnel; Email: morgane.burnel@univ-poitiers.fr
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Abstract

The current study investigates whether inclusive writing (IW), specifically full doublets (FD), that explicitly mention both masculine and feminine forms (e.g., les étudiants[masc.] et les étudiantes[fem.] | male students and female students), can reduce male-default bias in adolescents’ mental representations, and whether reading fluency or gender moderates this effect. One hundred and nine French-speaking adolescents (mean age = 12.1 years), with a broad range of reading abilities, produced lists of YouTubers and influencers under either masculine or FD instruction. Results from mixed-effects models revealed that FD significantly increased the proportion of female figures named, compared to the masculine condition, independently of reading fluency. Girls generated more female exemplars than boys, but there was no interaction with instruction type. These findings suggest that FD effectively reshape referential processing in adolescence, even for less fluent readers, by facilitating the activation of feminine exemplars in working memory and guiding referential resolution. Practically, this demonstrates that brief linguistic interventions can influence social cognition across diverse literacy profiles. Our study bridges developmental, social, and psycholinguistic perspectives, offering scalable, low-cost strategies to promote gender equity. Future work should compare FD with other inclusive formats and examine online processing costs (e.g., via eye-tracking) in educational contexts.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Table 1. Description of the sample of participants depending on their classTable 1 long description.

Figure 1

Figure 1. Distribution of reading fluency scores depending on education type (special education vs. mainstream education). Red dotted line represents the expected level at the end of 5th grade (i.e., 120 correctly read words per minute; DEPP, 2022).

Figure 2

Table 2. Baseline linear mixed-effects model predicting logit-transformed proportion of women namedTable 2 long description.

Figure 3

Table 3. Marginal means of the percentage of women named baseline linear mixed-effects modelTable 3 long description.

Figure 4

Figure 2. Percentage of women named by adolescents as a function of writing type (masculine vs. full doublets) in the baseline linear mixed-effects model.

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Table 4. Moderation linear mixed-effects model predicting logit-transformed proportion of women namedTable 4 long description.

Figure 6

Table 5. Marginal means of the percentage of women named (moderation linear mixed-effects model)Table 5 long description.

Figure 7

Figure 3. Percentage of women named by adolescents across reading fluency levels as a function of writing type (masculine vs. full doublets). Error bars represent ± 1 standard error. The interaction effect is statistically non-significant.

Figure 8

Figure 4. Percentage of women named by adolescents as a function of writing type (masculine vs. full doublets) and education type (special education vs. mainstream education) in the moderation linear mixed-effects model. Error bars represent ± 1 standard error. The interaction effect is statistically non-significant.

Figure 9

Figure 5. Percentage of women named by adolescents as a function of writing type (masculine vs. full doublets) and reading group (low readers vs. typical readers) in the moderation linear mixed-effects model. Error bars represent ± 1 standard error. The interaction effect is statistically non-significant.

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