“Between a Mask and a Face”: Race, Nation, and Nontraditional Casting in Ruth Negga’s Shakespeare on Broadway

Abstract: When the COVID-19 pandemic shut down the world’s theaters, the Ethiopian-Irish actress Ruth Negga was starring as Hamlet at St Ann’s Warehouse, which had transferred to New York from Ireland’s Gate Theatre. When restrictions were lifted, her return to the stage was her Tony Award-nominated performance as Lady Macbeth opposite Daniel Craig in Sam Gold’s 2022 production at the Longacre Theatre . This article uses Negga’s Shakespeare work in New York as a case study for examining the tangled social and cultural capitals of Shakespeare, Broadway, Irishness, and Hollywood, and the ways in which these intersect with larger issues of race, gender, and national identities. We interrogate how Negga’s race and nationality were read and understood by audiences when she stepped into Shakespearean roles on and adjacent to Broadway. Specifically, we examine the use of “nontraditional” casting in these productions and how Negga’s particular identity as a Black Irish woman was (or was not) made legible in performance. While Negga’s casting was presented as conceptual in both Hamlet and Macbeth , both productions ultimately failed to allow for meaningful cultural specificity, resulting in a functionally “colorblind” reception that erased Negga’s identity as an actor onstage.

Authors

Publication Details

Journal
Shakespeare bulletin
Published
2025-03-01
DOI
https://doi.org/10.1353/shb.2025.a971391
Primary Topic
South Asian Cinema and Culture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“Between a Mask and a Face”: Race, Nation, and Nontraditional Casting in Ruth Negga’s Shakespeare on Broadway

Justine Nakase, Emer McHugh
Shakespeare bulletin
South Asian Cinema and Culture
article

“Between a Mask and a Face”: Race, Nation, and Nontraditional Casting in Ruth Negga’s Shakespeare on Broadway

Justine Nakase, Emer McHugh
article en

Abstract

Abstract: When the COVID-19 pandemic shut down the world’s theaters, the Ethiopian-Irish actress Ruth Negga was starring as Hamlet at St Ann’s Warehouse, which had transferred to New York from Ireland’s Gate Theatre. When restrictions were lifted, her return to the stage was her Tony Award-nominated performance as Lady Macbeth opposite Daniel Craig in Sam Gold’s 2022 production at the Longacre Theatre . This article uses Negga’s Shakespeare work in New York as a case study for examining the tangled social and cultural capitals of Shakespeare, Broadway, Irishness, and Hollywood, and the ways in which these intersect with larger issues of race, gender, and national identities. We interrogate how Negga’s race and nationality were read and understood by audiences when she stepped into Shakespearean roles on and adjacent to Broadway. Specifically, we examine the use of “nontraditional” casting in these productions and how Negga’s particular identity as a Black Irish woman was (or was not) made legible in performance. While Negga’s casting was presented as conceptual in both Hamlet and Macbeth , both productions ultimately failed to allow for meaningful cultural specificity, resulting in a functionally “colorblind” reception that erased Negga’s identity as an actor onstage.

Shakespeare bulletinVol. 43(1)
Openalex Percentile: Top 74%
South Asian Cinema and Culture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

“Between a Mask and a Face”: Race, Nation, and Nontraditional Casting in Ruth Negga’s Shakespeare on Broadway — Justine Nakase, Emer McHugh · Shakespeare bulletin (2025) | TGRS Research Map | TGRS