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Cited by 274

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Redefining pollution and action: The matter of plastics

Liboiron, Max·2016·Journal of Material Culture

Abstract

Using plastic pollution as a case study, this article shows how the material characteristics of objects – their density, their size, and the strength of their molecular bonds, among other traits – are central to their agency. The author argues that it is crucial to attend to the physical characteristics of matter if we, as researchers, are going to describe problems and contribute to solutions for ‘bad actors’ like pollutants. Plastics and their chemicals are challenging regulatory models of pollution, research methods, and modes of action because of their ubiquity, longevity, and scale of production. This article investigates how scientists researching plastic pollution are attempting to create a new model – or models – of pollution that account for the unpredictable and complex materialities of 21st-century pollutants, and how the Anthropocene has come to be a shorthand for our material understandings of moral transgressions, cherished boundaries, and good citizenship.

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Crossref · 10.1177/1359183515622966

Cites

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Metadata

Authors
Liboiron, M.
Venue
Journal of Material Culture
Published
2015-12-29
Volume
21
Issue
1
Pages
87-110
ISSN
  • 1359-1835 (ISSN-L)
  • 1460-3586
OpenAlex
W2340430218
Cited by
274
References
9
FWCI
4.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Redefining pollution and action: The matter of plastics. https://app.cochat.ai/papers/10.1177/1359183515622966
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Liboiron, M. (2016). Redefining pollution and action: The matter of plastics. Journal of Material Culture. https://doi.org/10.1177/1359183515622966

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.