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  4. Structural gender imbalances in ballet collaboration networks
Details

Structural gender imbalances in ballet collaboration networks

Journal
EPJ Data Science
ISSN
2193-1127
Date Issued
2023
Author(s)
HERRERA GUZMÁN, YESSICA  
Facultad de Gobierno  
Eun Lee
Heetae Kim
Facultad de Ingeniería  
Type
Resource Types::text::journal::journal article
DOI
10.1140/epjds/s13688-023-00428-z
URL
https://investigadores.udd.cl/handle/123456789/8282
Abstract
Ballet, a mainstream performing art predominantly associated with women, exhibits significant gender imbalances in leading positions. However, the collaboration’s structural composition vis-à-vis gender representation in the field remains unexplored. Our study investigates the gendered labor force composition and collaboration patterns in ballet creations. Our findings reveal gender disparities in ballet creations aligned with gendered collaboration patterns and women’s occupation of more peripheral network positions than men. Productivity disparities show women accessing 20–25% of ballet creations compared to men. Mathematically derived perception errors show the underestimation of women artists’ representation within ballet collaboration networks, potentially impacting women’s careers in the field. Our study highlights the structural imbalances that women face in ballet creations and emphasizes the need for a more inclusive and equal professional environment in the ballet industry. These insights contribute to a broader understanding of structural gender imbalances in artistic domains and can inform cultural organizations about potential affirmative actions toward a better representation of women leaders in ballet.
Dataset(s)
Dataset - Structural gender imbalances in ballet collaboration networks  
Subjects
ballet collaboration

; 

collaboration network

; 

gender imbalance

; 

perception error

; 

social network analysis

; 

ballet collaboration

; 

collaboration network

; 

collaboration patterns

; 

composition patterns

; 

gender imbalance

; 

labor force

; 

perception error

; 

performing arts

; 

social network analysis

; 

structural composition

; 

social networking (online)
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