Evidence map›Paper›PMID 30426260›Full record

ArticleLife sciences, society and policy2018

CRISPR as agent: a metaphor that rhetorically inhibits the prospects for responsible research.

Leah Ceccarelli

Open access · hybridAbstract 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
0.3field-weighted citation impact, top 42% of its field
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, 10 citations in OpenAlex.

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

1 author at 1 institution in 1 country.

Leah CeccarelliDepartment of Communication, University of Washington, Box 353740, Seattle, WA, 98195-3740, USA. cecc@uw.edu.
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2015, a group of 18 scientists and bioethicists published an editorial in Science calling for "open discourse on the use of CRISPR-Cas9 technology to manipulate the human genome" and recommending that steps be taken to strongly discourage "any attempts at germline genome modification" in humans with this powerful new technology. Press reports compared the essay to a letter written by Paul Berg and 10 other scientists in 1974, also published in Science, calling for a voluntary deferral of certain types of recombinant DNA experimentation. A rhetorical analysis of the metaphors in these two documents, and in the summary statements that came out of the respective National Academy of Sciences conferences they instigated, shows that while they have a lot in common, they are different in at least one important way. The more recent texts deploy conceptual metaphors that portray the biotechnology in question as an autonomous agent, subtly suggesting an inevitability to its development, in contrast to the earlier texts, which portray the scientists who are using the technology as the primary agents who take action. Rhetorical moves depicting biotechnology as an agent in the 2015 texts hint at contemporary skepticism about whether humans can restrain the forward momentum of science and technology in a global context, thus inhibiting scientists from imagining a consequential role for themselves in shaping the future of responsible research.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsMetaphorBiomedical ResearchEthics, MedicalHumansUnited StatesAsilomar conference on recombinant DNABerg letterCRISPR research moratoriumInternational summit on human gene editingJennifer Doudna

Identifiers

PMID30426260
PMCPMC6233552
OpenAlexW2900544327

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.