Evidence map›Paper›PMID 25437239›Full record

ArticleGM crops & food2014

On risk and regulation: Bt crops in India.

Ronald J Herring

Abstract read
In one paragraph

Article in GM crops & food, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Farmer-suicide in India: debating the role of biotechnology.Life sciences, society and policy · 2017
    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

1 author.

Ronald J Herringa Cornell University ; Ithaca , NY USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic engineering in agriculture raises contentious politics unknown in other applications of molecular technology. Controversy originated and persists for inter-related reasons; these are not primarily, as frequently assumed, differences over scientific findings, but rather about the relationship of science to 'risk.' First, there are inevitably differences in how to interpret 'risk' in situations in which there are no established findings of specific hazard; 'Knightian uncertainty' defines this condition. Science claims no method of resolution in such cases of uncertainty. Second, science has no claim about risk preferences in a normative sense. In genetic engineering, Knightian uncertainty is pervasive; declaring uncertainty to constitute 'risk' enables a precautionary politics in which no conceivable evidence from science can confirm absence of risk. This is the logic of the precautionary state. The logic of the developmental state is quite different: uncertainty is treated as an inevitable component of change, and therefore a logic of acceptable uncertainty, parallel to acceptable risk of the sort deployed in cost-benefit analysis in other spheres of behavior, dominates policy. India's official position on agricultural biotechnology has been promotional, as expected from a developmental state, but regulation of Bt crops has rested in a section of the state operating more on precautionary than developmental logic. As a result, notwithstanding the developmental success of Bt cotton, Bt brinjal [eggplant, aubergine] encountered a moratorium on deployment despite approval by the regulatory scientific body designated to assess biosafety.

Indexed as

AgricultureBacillus thuringiensisCrops, AgriculturalIndiaPlants, Genetically Modifiedagricultural biotechnologybiosafetyBt brinjalBt cottonBt cropsGEAC, Genetic Engineering Approval CommitteeGMO, genetically modified organismGMOsIndiapolitics of scienceprecautionary principle

Identifiers

PMID25437239
PMCPMC5033221

What OpenQuestion holds

Textmetadata
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.