1 option
The great woman singer : gender and voice in Puerto Rican music / Licia Fiol-Matta.
- Format:
- Book
- Author/Creator:
- Fiol-Matta, Licia, author.
- Series:
- Refiguring American music.
- Refiguring American music
- Language:
- English
- Subjects (All):
- Women singers--Puerto Rico.
- Women singers.
- Music--Social aspects--Puerto Rico.
- Music.
- Music--Political aspects--Puerto Rico.
- Physical Description:
- 1 online resource (313 pages)
- Place of Publication:
- Durham : Duke University Press, 2016.
- Summary:
- Licia Fiol-Matta traces the careers of four iconic Puerto Rican singers—Myrta Silva, Ruth Fernández, Ernestina Reyes, and Lucecita Benítez—to explore how their voices and performance style transform the possibilities for comprehending the figure of the woman singer. Fiol-Matta shows how these musicians, despite seemingly intractable demands to represent gender norms, exercised their artistic and political agency by challenging expectations of how they should look, sound, and act. Fiol-Matta also breaks with conceptualizations of the female pop voice as spontaneous and intuitive, interrogating the notion of "the great woman singer" to deploy her concept of the "thinking voice"—an event of music, voice, and listening that rewrites dominant narratives. Anchored in the work of Lacan, Foucault, and others, Fiol-Matta's theorization of voice and gender in The Great Woman Singer makes accessible the singing voice's conceptual dimensions while revealing a dynamic archive of Puerto Rican and Latin American popular music.
- Contents:
- Getting off...the nation
- So what if she's Black?
- Techne and the lady
- The thinking voice.
- Notes:
- Includes bibliographical references and index.
- Description based on print version record.
- ISBN:
- 9780822373469
- 0822373467
- OCLC:
- 1198932040
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.