From local champions to global players: A long-term perspective on Swiss companies’ connections across territorial scales

Corporate interlocking at the national and transnational scale has received substantive scholarly attention. Less is known about companies’ ties to the cities and regions in which they have their seats. In this paper, we conduct a long-term analysis of the multilevel ties that companies maintain with the local and the national context they are embedded in. To do so, we adopt a positional approach and identify the directors of the major companies in the three largest Swiss cities (Basel, Geneva, and Zurich) and study company directors’ ties to local and national organizations in seven benchmark years between 1890 and 2020. Our analysis documents the rise and fall of company directors’ ties to national organizations over the course of the 20th century, and it highlights the continued persistence of companies’ ties to the local level and their region until the new millennium, when companies’ ties with national and local organizations vanish, coinciding with the transnationalization of company boards.     

New configurations of labour insertion processes. The case of secondary technical and vocational education and training students in Chile

This article presents the results of a longitudinal study that followed a sample of 1011 young people who completed their secondary technical and vocational education and training studies in Chile between 2011 and 2016. It adopts a mixed design that combines both quantitative and qualitative methodological strategies to analyse transitions and post-study trajectories. Analysis has helped to identify the prevalence of non-linear and unstructured transitions to the labour market. It has also shown the existence of education-work links and employment alternatives that are generated in certain sectors as well as identified how these give rise to specific opportunity structures that affect on aspirations and career pathways. Results indicate that graduates of the industrial area of study experience more substantive educational integration and labour links following course completion due to greater levels of alignment between their training and the productive demands of the industrial sectors. However, their experiences over the medium term are fragmented and, thus, reflect those of their peers from other areas.     

A positive psychology intervention to foster economic integration of Syrian refugees in the Netherlands

Research shows that the labour market integration of refugees is often problematic. Little is known about what kind of measures are effective to help them integrate into the labour market. In the Netherlands, a positive psychology intervention “Mosaic” for Syrian refugees was developed to support their economic participation. This study aims to assess the effect of “Mosaic” on the economic participation and work-related attitudes of Syrian refugees. “Mosaic” was implemented in six municipalities by conducting an RCT with a waiting list control group. The results show that in the short term, the intervention group realizes a significantly larger increase in hours spent on an internship as well as substantially larger gains in confidence to find work in the future. In the long term, the intervention group experiences larger confidence gains related to finding a job that fits their education and experience.     

Classification Algorithm for Skin Color (CASCo): A new tool to measure skin color in social science research

Objective

A growing body of literature reveals that skin color has significant effects on people's income, health, education, and employment. However, the ways in which skin color has been measured in empirical research have been criticized for being inaccurate, if not subjective and biased.

Objective

Introduce an objective, automatic, accessible and customizable Classification Algorithm for Skin Color (CASCo).

Methods

We review the methods traditionally used to measure skin color (verbal scales, visual aids or color palettes, photo elicitation, spectrometers and image-based algorithms), noting their shortcomings. We highlight the need for a different tool to measure skin color

Results

We present CASCo, a (social researcher-friendly) Python library that uses face detection, skin segmentation and k-means clustering algorithms to determine the skin tone category of portraits.

Conclusion

After assessing the merits and shortcomings of all the methods available, we argue CASCo is well equipped to overcome most challenges and objections posed against its alternatives. While acknowledging its limitations, we contend that CASCo should complement researchers. toolkit in this area.