Evidence map›Paper›PMID 30221313›Full record

ArticleLife sciences, society and policy2018

How to do things with metaphors: engineering life as hodgepodge.

Matthew Kearnes, Declan Kuch, Angus Johnston

Abstract read
In one paragraph

Article in Life sciences, society and policy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthew KearnesARC Centre of Excellence in Convergent Bio-Nano Science & Technology (CBNS), School of Humanities and Languages, University of New South Wales, Sydney, Australia. m.kearnes@unsw.edu.au.ORCID http://orcid.org/0000-0001-6267-9571
Declan KuchARC Centre of Excellence in Convergent Bio-Nano Science & Technology (CBNS), School of Humanities and Languages, University of New South Wales, Sydney, Australia.
Angus JohnstonARC Centre of Excellence in Convergent Bio-Nano Science & Technology (CBNS), Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia.

Funding

ARC Centre of Excellence in Convergent Bio-Nano Science & Technology (CBNS) CE140100036
6 · The paper itself

Abstract

This paper presents a collaboration between social scientists and a chemist exploring the promises for new therapy development at the intersection between synthetic biology and nanotechnology. Drawing from ethnographic studies of laboratories and a recorded discussion between the three authors, we interrogate the metaphors that underpin what Mackenzie (Futures 48:5-12 2013) has identified as a recursive relationship in the iconography of the life sciences and its infrastructure. Focusing specifically on the use of gene editing techniques in synthetic biology and bio-nanotechnology, we focus our analysis on the key metaphors of 'evolutionary life as hodge-podge' within which 'cutting' of DNA and the 'sticking' and 'binding' of engineered particles to proteins can be performed by researchers in laboratory settings. Taken together, we argue that these metaphors are consequential for understanding metaphors of life-as-machine and the prevalence of notions of 'engineering life'. Exploring the ways in which notions of cutting, targeting and life as an evolutionary hodgepodge prefigure a more contingent notion of engineering and synthesis we close by considering the interpretive implications for ethnomethodological approaches to contemporary life science research.

Indexed as

Biological Science DisciplinesGene EditingMetaphorNanotechnologyHumans

Identifiers

PMID30221313
PMCPMC6389216

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.