“Real Women”: The Shared Responsibility to Use Gender-affirming Language
Notice bibliographique
Résumé
Dear Editor: “Transplantation of the uterus in the male rat” by Yang et al1 is promising research with the potential to advance understanding of options to bear children for people assigned male at birth who choose to have children. However, we write to point out that the language is neither gender-affirming nor inclusive for transgender people. Gender (the intrinsic deeply felt experience of being a man, woman, both, or neither) and sexuality (to whom a person is attracted) are confused and conflated.2 This is evident by referring to the surgical procedure as “heterosexual” and “transsexual” transplantation. Consider also the following excerpt: “Traditionally, gender remodeling changes their appearance and make[s] them look more like their preferred gender. However, the function to be a true woman remained unsolved.” “Preferred” is a problematic term because it implies choice both for the transgender person and for people who affirm the person’s gender. Gender is not a choice or a preference. People are assigned (without choice) male or female at birth. For some, this initial label aligns with their self-perceptions and identity (termed cisgender). Many other people (1.6 million in the United States3) later realize that the gender they were assigned at birth is not who they truly are. People may realize they are transgender, nonbinary, or other gender identities. The following excerpt is also problematic: “These results may provide a reference for bilateral transsexual UTx in animals and genetically 46 XY individuals who wish to become real women through transsexual UTx.” The term “real women” ignores the diversity of womanhood, reducing womanhood to reproductive abilities. Women (transgender and cisgender) are real women without any qualifiers; the capacity to give birth does not define womanhood. How women decide to express their gender (through clothing, hairstyle, hormone therapy, surgical procedures) also does not define womanhood. Regardless of what steps a person takes to affirm their gender, a transgender woman is a woman and a transgender man is a man. A person does not need to take any steps to be a “true woman” or “real woman.” Language is powerful in shaping cultural and social attitudes. Health disparities among transgender people are striking. Affirming inclusive spaces and discourse can mitigate minority stress, which is a documented driver of health disparities in transgender people.4 In the physical sciences, nearly half of transgender scientists have considered leaving their workplace because of a hostile climate or discrimination.5 We must do better. Research about transgender people should be authored, or at least steered, with a community advisory committee made up of transgender and gender-diverse people. We encourage journals in the field of transplantation to work together with members of various systemically discriminated communities to establish and publish diversity, equity, and inclusion writing guidelines, and to work with authors to ensure all submissions meet the standard before publication. Given its commitment to diversity, equity, and inclusion, Transplantation would be well-positioned to lead such an effort.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,045 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,004 | 0,007 |
| Communication savante | 0,007 | 0,009 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,016 | 0,033 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,005 |
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 source (Gemma direct ou Codex distillé), 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 ».