Inequality threat increases laypeople's, but not judges', acceptance of algorithmic decision making in court.

Objective: Algorithmic decision making (ADM) takes on increasingly complex tasks in the criminal justice system. Whereas new developments in machine learning could help to improve the quality of judicial decisions, there are legal and ethical concerns that thwart the widespread use of algorithms. Against the backdrop of current efforts to promote the digitization of the German judicial system, this research investigates motivational factors (pragmatic motives, fairness concerns, and self-image-related considerations) that drive or impede the acceptance of ADM in court.

The social class of orthopedic rehabilitation patients: Are there differences in subjective health, return to work motivation, and participation in aftercare interventions?

This longitudinal quasi-experimental study examines the relationship between social class, subjective health, motivation to return to work (RTW) following medical rehabilitation, and participation in aftercare interventions, utilizing the Social Cognitive Theory of Social Class. To do so, a prospective multicentric study was conducted. The analysis was based on data from N = 1044 orthopedic rehabilitation patients in three clinics in Germany.