The diverging dictionaries of science and law. (January 2018)
- Record Type:
- Journal Article
- Title:
- The diverging dictionaries of science and law. (January 2018)
- Main Title:
- The diverging dictionaries of science and law
- Authors:
- Likwornik, Helena
Chin, Jason
Bielinski, Maya - Abstract:
- Scientific evidence is easily misunderstood. One of the most insidious instances of misunderstanding arises when scientific experts and those receiving their evidence assign different meanings to the same words. We expect scientific evidence to be difficult to understand. What is unexpected, and often far more difficult to detect, is the incorrect understanding of terms and phrases that appear familiar. In these circumstances, misunderstandings easily escape notice. We applied an evidence-based approach to investigating this phenomenon, asking two groups, one with legal education and one with scientific education, to define five commonly-used phrases with both lay and scientific connotations. We hypothesised that the groups would significantly diverge in the definitions they provided. Employing a machine learning algorithm and the ratings of trained coders, we found that lawyers and scientists indeed disagreed over the meanings of certain terms. Notably, we trained a machine learning algorithm to reliably classify the authorship of the definitions as scientific or legal, demonstrating that these groups rely on predictably different lexicons. Our findings have implications for recommending avoidance of some of these particular words and phrases in favour of terminology that promotes common understanding. And methodologically, we suggest a new way for governmental and quasi-governmental bodies to study and thereby prevent misunderstandings between the legal and scientificScientific evidence is easily misunderstood. One of the most insidious instances of misunderstanding arises when scientific experts and those receiving their evidence assign different meanings to the same words. We expect scientific evidence to be difficult to understand. What is unexpected, and often far more difficult to detect, is the incorrect understanding of terms and phrases that appear familiar. In these circumstances, misunderstandings easily escape notice. We applied an evidence-based approach to investigating this phenomenon, asking two groups, one with legal education and one with scientific education, to define five commonly-used phrases with both lay and scientific connotations. We hypothesised that the groups would significantly diverge in the definitions they provided. Employing a machine learning algorithm and the ratings of trained coders, we found that lawyers and scientists indeed disagreed over the meanings of certain terms. Notably, we trained a machine learning algorithm to reliably classify the authorship of the definitions as scientific or legal, demonstrating that these groups rely on predictably different lexicons. Our findings have implications for recommending avoidance of some of these particular words and phrases in favour of terminology that promotes common understanding. And methodologically, we suggest a new way for governmental and quasi-governmental bodies to study and thereby prevent misunderstandings between the legal and scientific communities. … (more)
- Is Part Of:
- International journal of evidence & proof. Volume 22:Number 1(2018:Jan.)
- Journal:
- International journal of evidence & proof
- Issue:
- Volume 22:Number 1(2018:Jan.)
- Issue Display:
- Volume 22, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 22
- Issue:
- 1
- Issue Sort Value:
- 2018-0022-0001-0000
- Page Start:
- 30
- Page End:
- 44
- Publication Date:
- 2018-01
- Subjects:
- definitions -- different lexicons -- evidence-based -- expert evidence -- law -- machine learning algorithm -- misunderstandings -- science
Evidence (Law) -- Periodicals
347.06 - Journal URLs:
- http://epj.sagepub.com/ ↗
http://www.uk.sagepub.com ↗
http://www.heinonline.org/HOL/Index?index=journals/intjevp&collection=fijournals ↗
http://www.vathek.com/ijep/index.shtml ↗ - DOI:
- 10.1177/1365712717725536 ↗
- Languages:
- English
- ISSNs:
- 1365-7127
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8017.xml