Queering English language teaching materials: censorship and intersectional approaches
Notice bibliographique
Résumé
As researchers such as Gray (2013) and Paiz (2015) have established, textbooks within the industry of English Language Teaching (ELT) have historically done a poor job of incorporating queer content. The industry of ELT textbooks is lucrative with a global reach, so the impact the books have is very significant. In the name of profits, it is common to see the most conservative version of a textbook used for all markets, which means that LGBTQ representation is virtually invisible (Gray, 2010). It may be done in the name of cultural sensitivity, but as Kimberlé Crenshaw (1991) says in her landmark work on intersectionality, “ignoring differences within groups frequently contributes to tension among groups.” At the same time, LGBTQ issues in ELT have received growing attention, and researchers have explored the best practices to incorporate queer content. Judith Butler’s (2006) inquiry-based approach, as adapted by Nelson (2002) to challenging the ways gender norms are dictated by society and imposed through language has been particularly influential. Several teacher-researchers have built on this and taken into account the political implications of ELT with “intersectional approaches” using texts written by queer people from outside Kachru’s (1986) “Inner Circle.” Examples of this would be O’Mochain (2006), who had students in Japan read first person accounts of queer Japanese people, and Paiz and Zhu (2018), which recounts Paiz’s use of Sri Lankan-Canadian writer Selvadurai’s (1994) novel Funny Boy as a way of introducing queer themes to a class of university students in China. In both cases, this approach yielded positive results, and it is from this that there is a framework for researching and assessing the extent to which the most recent textbooks and online materials have changed (if at all) regarding gender and sexuality, and if it is done successfully. Gray and Cooke (2018) call for more study connecting queer intersectionality and linguistics, looking at people’s lives as being complex and dynamic as well as shaped by multiple different forces of gender, race, economics, and nationality. For this master’s thesis, I used this framework to analyze some of the most recently published ELT textbooks to determine whether they have improved in terms of LGBTQ representation, and suggested ways that the materials could be improved. I also looked at online materials, including lessons published several years ago, as well as recently as all are currently available, and found that there are more attempts to address LGBTQ topics (primarily just lesbian and gay) than there are in textbooks but that the approaches are often problematic. I suggested ways that they could be improved, and also provided examples from film, literature, and online resources that could be adapted into ELT texts
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».