Dataset Information

Children's evaluation and categorization of transgender children.

ABSTRACT: Despite extant evidence of negative peer treatment of transgender adolescents and adults, little is known about how young children perceive transgender peers, particularly those who have socially-transitioned, or are living in line with their gender, rather than sex at birth. Whereas children have been shown to be averse to gender nonconformity in peers, because many transgender children appear and behave in ways consistent with their expressed gender (but not their sex at birth), it is unclear how children evaluate these identities. In two studies, we investigated 5- to 10-year-old children's (N total =113) preferences for transgender vs. gender-"typical" peers who either shared their gender identity or did not. We also examined whether children categorize transgender peers by their sex or expressed gender, as this might inform their evaluations. Children preferred cisgender peers over transgender peers; however, they also liked peers of their own gender rather than the other gender (e.g., female participants preferred girls over boys), demonstrating that the oft-documented own-gender bias plays an important role even when children are reasoning about transgender peers. Children did not reliably categorize transgender peers by sex or gender; yet, those who categorized transgender peers by their sex showed greater dislike of transgender peers. The current studies are the first to investigate cisgender children's attitudes toward transgender children, and suggest that perceptions of gender categorization and conformity play a role in children's evaluations of transgender peers.

SUBMITTER: Gulgoz S

PROVIDER: S-EPMC6317735 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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Publications

Children's evaluation and categorization of transgender children.

Gülgöz Selin S Gomez Eric M EM DeMeules Madeleine R MR Olson Kristina R KR

Journal of cognition and development : official journal of the Cognitive Development Society 20180815 4

Despite extant evidence of negative peer treatment of transgender adolescents and adults, little is known about how young children perceive transgender peers, particularly those who have socially-transitioned, or are living in line with their gender, rather than sex at birth. Whereas children have been shown to be averse to gender nonconformity in peers, because many transgender children appear and behave in ways consistent with their expressed gender (but not their sex at birth), it is unclear ...[more]

PMID: 30613194

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Project description:Medical advances in assisted reproductive technology have created new ways for transgender persons to become parents outside the context of adoption. The limited empirical data does not support the idea that trans-parenthood negatively impacts children's development. However, the question has led to lively societal debates making the need for evidence-based studies urgent. We aimed to compare cognitive development, mental health, gender identity, quality of life and family dynamics using standardized instruments and experimental protocols in 32 children who were conceived by donor sperm insemination (DSI) in French couples with a cisgender woman and a transgender man, the transition occurring before conception. We constituted two control groups matched for age, gender and family status. We found no significant difference between groups regarding cognitive development, mental health, and gender identity, meaning that neither the transgender fatherhood nor the use of DSI had any impact on these characteristics. The results of the descriptive analysis showed positive psycho-emotional development. Additionally, when we asked raters to differentiate the family drawings of the group of children of trans-fathers from those who were naturally conceived, no rater was able to differentiate the groups above chance levels, meaning that what children expressed through family drawing did not indicate cues related to trans-fatherhood. However, when we assessed mothers and fathers with the Five-Minute Speech Sample, we found that the emotions expressed by transgender fathers were higher than those of cisgender fathers who conceived by sex or by DSI. We conclude that the first empirical data regarding child development in the context of trans-parenthood are reassuring. We believe that this research will also improve transgender couple care and that of their children in a society where access to care remains difficult in this population. However, further research is needed with adolescents and young adults.

Project description:BACKGROUND:Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilitate high throughput classification of biomedical information. However, to our knowledge, no evaluation has been published on automating classifications of human diseases genes using Gene Ontology. In this study, we evaluate automated classifications of well-defined human disease genes using their Gene Ontology annotations and compared them to a gold standard. This gold standard was independently conceived by Valle's research group, and contains 923 human disease genes organized in 14 categories of protein function. RESULTS:Two automated methods were applied to investigate the classification of human disease genes into independently pre-defined categories of protein function. One method used the structure of Gene Ontology by pre-selecting 74 Gene Ontology terms assigned to 11 protein function categories. The second method was based on the similarity of human disease genes clustered according to the information-theoretic distance of their Gene Ontology annotations. Compared to the categorization of human disease genes found in the gold standard, our automated methods can achieve an overall 56% and 47% precision with 62% and 71% recall respectively. However, approximately 15% of the studied human disease genes remain without GO annotations. CONCLUSION:Automated methods can recapitulate a significant portion of classification of the human disease genes. The method using information-theoretic distance performs slightly better on the precision with some loss in recall. For some protein function categories, such as 'hormone' and 'transcription factor', the automated methods perform particularly well, achieving precision and recall levels above 75%. In summary, this study demonstrates that for semantic webs, methods to automatically classify or analyze a majority of human disease genes require significant progress in both the Gene Ontology annotations and particularly in the utilization of these annotations.

Dataset Information

Children's evaluation and categorization of transgender children.

Publications

Children's evaluation and categorization of transgender children.

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