Universalism and particularism in the recommendations of the nobel prize for science
Bibliographic Data
| ID | 21442894 |
|---|---|
| Authors | Byoung-Kwon Ko (Korea Advanced Institute of Science and Technology), Yeongkyun Jang (0000-0003-2881-2345, Korea Advanced Institute of Science and Technology), Joshua S Yang (0000-0001-9595-5229, Korea Advanced Institute of Science and Technology, corresponding author) |
| Year | 2024 |
| Volume | 129 |
| Issue | 2 |
| Pages | 847-868 |
| Publication date | 2024-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-023-04921-0 |
| OpenAlex | W4390839237 |
| Language | EN |
| Citations received | 1 |
| References cited | 53 |
From the viewpoints of universalism and particularism, this paper investigates the process of recommendation by focusing on peer review for the Nobel Prize for Science from 1901 to 1970. The results indicate that self-recommendation practices are routine, especially in developed countries, and that the recommendation network is fundamentally built on mutually beneficial relationships between countries. The analysis also reveals that political, economic, military, biological, and colonial factors irrelevant to scientific performance impact the recommendations. During the study period, the Cold War evoked severe tensions between the Western and Eastern Blocs and influenced recommendations on each side; political and military factors also played a role. The main findings imply apparent evidence for particularism, indicating the presence of bias in the recommendation process. This paper provides suggestions for improvement of the selection process for the Nobel Committee
Cold war · Economics · Epistemology · Political science · Politics · Positive economics · Process (computing) · Selection (genetic algorithm) · Sociology · Universalism · Viewpoints · Artificial Intelligence · Computer Science · Culture, Economy, and Development Studies · Law · Philosophy · Social and Cultural Dynamics
The sociology of science
Networks
Recovery of pulmonary structure and exercise capacity by treatment with granulocyte-colony stimulating factor (G-CSF) in a mouse model of emphysema
Mixing patterns in networks
Chance and Consensus in Peer Review
The Diffusion of Development
Modularity and community structure in networks
The dynamics of the EU's nuclear trade network
International collaboration in higher education research
Peer nominations as scientometrics
Ecological Influences on the Formation of the Hiring Network in the Communication Job Market, 2015 to 2019
India's Physics and Chemistry Nobel Prize nominators and nominees in colonial and international context
A gravity model analysis of international migration to North America
The Ethos of Science and Its Correlates
The Log of Gravity
Scientific Careers
Exponential Random Graph ( p* ) Models as a Method for Social Network Analysis in Communication Research
The role of transport infrastructure in international tourism development
Factors influencing the co-occurrence of visits to attractions
Exponential Random Graph Models for Social Networks
A Dissenting View on the Scientific Ethos
Norms and Counter-Norms in a Select Group of the Apollo Moon Scientists
Executive Compensation, Fat Cats, and Best Athletes
The Effect of Gender on Interruptions at Congressional Hearings
Norms and ideology in science
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |