This study examines the links between parental education and students' choice of field of study in Norwegian higher education. In our interpretation of the results, we suggest a status group perspective that integrates risk aversion models, micro-class theory, and cultural reproduction schemes. Complete Norwegian register data for all individuals born from 1955 to 1980 allow for a fine-grained examination of diverse fields of study not attempted in earlier studies. The findings reveal that intergenerational reproduction of educational fields is widespread, but its extent varies across fields of study. The tendency is most pronounced among children of professional, educated parents with masters and higher-level degrees. Moreover, the analysis shows that students who do not choose the same field as their parents nonetheless tend to choose educational fields close to those of their parents.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/1468-4446.12370 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Krait2: a versatile software for microsatellite investigation, visualization and marker development.
BMC Genomics
January 2025
Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, 610225, China.
Background: Microsatellites are highly polymorphic repeat sequences ubiquitously interspersed throughout almost all genomes which are widely used as powerful molecular markers in diverse fields. Microsatellite expansions play pivotal roles in gene expression regulation and are implicated in various neurological diseases and cancers. Although much effort has been devoted to developing efficient tools for microsatellite identification, there is still a lack of a powerful tool for large-scale microsatellite analysis.
View Article and Find Full Text PDFA machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness.
Sci Rep
January 2025
College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughness. Machine learning methods are frequently employed to construct predictive models as a result of their high efficiency. In order to comprehend the effects of cohesion, passion and mental toughness on athlete engagement, this study utilizes the relevant methods of machine learning to construct a prediction model, so as to find the intrinsic connection between them.
View Article and Find Full Text PDFOptimization of metal polymer friction pair composition for hydrogen wear reduction through thermal stabilization analysis.
Sci Rep
January 2025
Department of CSE, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
The composition of the metal-polymer friction pair is carefully considered for interacting with water and hydrogen, ensuring the metals electrode process potential remains below waters in a neutral medium. Simultaneously, adherence to defined chemical composition ratios for the metal-polymer materials is crucial. This analysis is conducted under conditions of thermal stabilization, characterized by a minimal temperature gradient across the rim thickness within an equivalent thermal field.
View Article and Find Full Text PDFHealth literacy and influencing factors in university students across diverse educational fields in Kazakhstan.
Sci Rep
January 2025
School of Public Health, Karaganda Medical University, Karaganda, 100008, Kazakhstan.
Comprehensive examinations of health literacy (HL) among students in Kazakhstan are lacking. The existing literature from adult populations in Kazakhstan suggests associations between higher HL and socioeconomic and demographic factors. The HLS19-Q12 tool was used in this study to assess the HL level of 3230 students with various backgrounds.
View Article and Find Full Text PDFFailure modes and interaction mechanisms of tunnel under active landslide conditions.
Sci Rep
January 2025
China Academy of Railway Sciences Co. Ltd, Beijing, 100081, China.
The construction of tunnels can easily trigger the reactivation of old landslide bodies, posing a threat to the transportation safety. In this study, using methods such as engineering geological investigation, slope deformation monitoring, deep displacement monitoring, and numerical simulation, the interaction between landslides and tunnels was investigated from the perspective of landslide deformation and failure characteristics. The Walibie Tunnel (WLBT) of Shangri-La to Lijiang (XL) expressway was taken as an example.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!