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Cited by 300

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Between Inclusion and Exclusion: On the Topology of Global Space and Borders

Mezzadra, Sandro, Neilson, Brett·2012·Theory, Culture & Society

Abstract

The research hypothesis that we call border as method offers a fertile ground upon which to test the potentiality and the limits of the topological approach. In this article we present our hypothesis and address three questions relevant for topology. First, we ask how the topological approach can be applied within the heterogeneous space of globalization, which we argue does not obey the dialectic of inclusion and exclusion. Second, we address the claim of neutrality that is often linked to the topological approach. Our point is that in mapping a space of flows and porous borders, the topological approach must be grasped in its ambivalence; it can become a tool for control as well as a tool for the expansion of freedom and equality. Finally, we argue that it is useful, perhaps even necessary, to locate the topological approach on the border, investigating concrete practices of border crossing that challenge the very possibility of a neutral mapping.

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Crossref · 10.1177/0263276412443569

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Metadata

Authors
Mezzadra, S., & Neilson, B.
Venue
Theory, Culture & Society
Published
2012-07
Volume
29
Issue
4-5
Pages
58-75
ISSN
  • 0263-2764 (ISSN-L)
  • 1460-3616
OpenAlex
W2161798584
Cited by
300
References
3
FWCI
44.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Between Inclusion and Exclusion: On the Topology of Global Space and Borders. https://app.cochat.ai/papers/10.1177/0263276412443569
The paper
Mezzadra, S., & Neilson, B. (2012). Between Inclusion and Exclusion: On the Topology of Global Space and Borders. Theory, Culture & Society. https://doi.org/10.1177/0263276412443569

Data sources

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.