JOURNAL ARTICLE
Fugitive Freedom Dreaming (2024).
Published In: QED: A Journal in GLBTQ Worldmaking, 2025, v. 12, n. 1. P. 61 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Booker, Catron 3 of 3
Abstract
Fugitive Freedom Dreaming (2024) is a cinematic poem filmed at Gracia Real de Santa Teresa de Mosé in St. Augustine Florida between 2022 and 2023.1 Also known as Fort Mosé, this territory was established in 1738 during the Spanish occupation. Guiding the reader through the film that structures the work offers a way to read the film as a means of claiming queerness as an integral component of Black liberation. The work is a counter narrative to the dominant perceptions of the Spanish Florida colonial period for which evidence of rebellion is more often than not erased, overlooked, minimized, and/or for all intents and purposes, made absent from Floridian collective memory. In this piece, I contextualize the historical context of the film, the visual and aural strategies employed in filmmaking, and the means by which the piece is a poetic intervention for celebrating the underrecognized histories of maroon cultures in the United States. From this praxis of spiritual and intellectual curiosity, I assert a queer Black aesthetic that opens up space for me as a Black artist living, surviving, and thriving in the midst of the contemporary reality of the settler colonial state of what is now called the United States of America. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:QED: A Journal in GLBTQ Worldmaking. 2025/03, Vol. 12, Issue 1, p61
- Document Type:Article
- Subject Area:History
- Publication Date:2025
- ISSN:2327-1574
- DOI:10.14321/qed.12.1.0061
- Accession Number:192816204
- Copyright Statement:Copyright of QED: A Journal in GLBTQ Worldmaking is the property of Michigan State University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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