Evidence map›Paper›PMID 33161299›Full record

ArticleJournal of environmental management2021

The sedimented social histories of environmental cleanups: An ethnography of social and institutional dynamics.

Brittany Kiessling, Keely B Maxwell, Jenifer Buckley

Abstract read
In one paragraph

Article in Journal of environmental management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Brittany KiesslingUnited States Environmental Protection Agency, 1200 Pennsylvania Ave. NW, Washington, DC, 20004, USA. Electronic address: kiessling.brittany@epa.gov.
Keely B MaxwellUnited States Environmental Protection Agency, 1200 Pennsylvania Ave. NW, Washington, DC, 20004, USA.
Jenifer BuckleyUnited States Environmental Protection Agency, 1200 Pennsylvania Ave. NW, Washington, DC, 20004, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The scrutiny of environmental cleanups within the United States has been a growing area of interest for social scientists. Scholars have used case studies and modeling to analyze struggles for environmental justice and the economics of stigma associated with Superfund sites. This research has primarily analyzed community perspectives on remediation and removal, such as local strategies for participating in cleanup decisions. There has been less work on analyzing organizational perspectives on the social and institutional dynamics at play during cleanups. Our study addresses this gap by analyzing insights gained through interviewing U.S. Environmental Protection Agency staff who do cleanup work in brownfields, Superfund, and emergency response. This ethnographic research excavates the sedimented layers of social histories of contaminated sites: local and regional contexts, institutional power and authority, and stakeholder relationships and networks. It interrogates how these sedimented social histories affect cleanup decisions, including the temporal and spatial boundaries of sites themselves. We find that the making of relationships is as important to cleanup strategies and outcomes as the scientific and technical aspects of cleanup are. This finding highlights the importance of tools and resources to excavate these social histories during environmental remediation, removal, and decontamination work.

Indexed as

Environmental Restoration and RemediationAnthropology, CulturalHealth FacilitiesHumansUnited StatesUnited States Environmental Protection Agency

Identifiers

PMID33161299
PMCPMC10416316

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.