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Cited by 486

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Interscalar Vehicles for an African Anthropocene: On Waste, Temporality, and Violence

Open access
Hecht, Gabrielle·2018·Cultural Anthropology

Abstract

How can we incorporate humanist critiques of the Anthropocene while harnessing the notion’s potential for challenging political imagination? Placing the Anthropocene offers one way forward; the notion of an African Anthropocene offers a productive paradox that holds planetary temporality and specific human lives in a single frame. Navigating the Anthropocene from Africa requires attending to scale both as an analytic and an actor category. In order to do so, this essay proposes the notion of interscalar vehicles: objects and modes of analysis that permit scholars and their subjects to move simultaneously through deep time and human time, through geological space and political space. This essay discusses the creation and destruction of value/waste and pasts/futures around a uranium mine in Mounana, Gabon, to unpack the political, ethical, epistemological, and affective dimensions of interscalar vehicles and their violent Anthropocenic implications.

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Metadata

Authors
Hecht, G.
Venue
Cultural Anthropology
Published
2018-02-22
Volume
33
Issue
1
Pages
109-141
ISSN
  • 0886-7356 (ISSN-L)
  • 1548-1360
OpenAlex
W2791261394
Cited by
486
References
55
FWCI
200.76
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Interscalar Vehicles for an African Anthropocene: On Waste, Temporality, and Violence. https://app.cochat.ai/papers/10.14506/ca33.1.05
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Hecht, G. (2018). Interscalar Vehicles for an African Anthropocene: On Waste, Temporality, and Violence. Cultural Anthropology. https://doi.org/10.14506/ca33.1.05

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.