Matthias Kuppler
Dados Biográficos
| ID | 370237 |
|---|---|
| NOME | Matthias Kuppler |
| PRENOMES | Matthias |
| SOBRENOME | Kuppler |
| ASSINATURA | KUPPLER M |
| AFILIAÇÕES | University of Siegen |
| ORCID | 0000-0002-7324-4722 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
The conservative revolution revisited
Conducts a comparative analysis of contemporary publishing fields in France, Germany, Sweden, and the United States. • Reveals the oligopolistic structure of publishing fields in which media corporations monopolize access to the mass market and marginalize independent publishers into niche markets. • Documents the blending of artistic and commercial editorial strategies at the poles of restricted production and mass production. The publishing ind…
Of centers and peripheries
Effect of Commitment on Supportive Dyadic Coping
Unresolved stress reduces the well-being of romantic relationships. Supportive coping helps resolving stress and protects relationship well-being. However, the conditions that promote supportive coping are largely unknown. According to interdependence theory, commitment promotes relationship maintenance behaviors in general. This study investigates whether commitment also promotes supportive coping. Data come from six waves of the German Family P…
Predicting the future impact of Computer Science researchers
The advent of large-scale bibliographic databases and powerful prediction algorithms led to calls for data-driven approaches for targeting scarce funds at researchers with high predicted future scientific impact. The potential side-effects and fairness implications of such approaches are unknown, however. Using a large-scale bibliographic data set of N = 111,156 Computer Science researchers active from 1993 to 2016, I build and evaluate a realist…
From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making
Prediction algorithms are regularly used to support and automate high-stakes policy decisions about the allocation of scarce public resources. However, data-driven decision-making raises problems of algorithmic fairness and justice. So far, fairness and justice are frequently conflated, with the consequence that distributive justice concerns are not addressed explicitly. In this paper, we approach this issue by distinguishing (a) fairness as a pr…
Effect of Regional Long-Term Care Service Supply on Choice of Care Arrangement in Old Age
Depending on their place of residence, older persons have unequal access to long-term care (LTC) services. This article investigates how the county-level supply of inpatient and outpatient LTC services influences individual-level LTC choices of older persons. Administrative data on LTC service supply from the German Care Statistic are combined with representative survey data on the LTC choices of N = 1303 persons aged 80+ from the German Federal …
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Effect of Regional Long-Term Care Service Supply on Choice of Care Arrangement in Old Age
Depending on their place of residence, older persons have unequal access to long-term care (LTC) services. This article investigates how the county-level supply of inpatient and outpatient LTC services influences individual-level LTC choices of older persons. Administrative data on LTC service supply from the German Care Statistic are combined with representative survey data on the LTC choices of N = 1303 persons aged 80+ from the German Federal …
Predicting the future impact of Computer Science researchers
The advent of large-scale bibliographic databases and powerful prediction algorithms led to calls for data-driven approaches for targeting scarce funds at researchers with high predicted future scientific impact. The potential side-effects and fairness implications of such approaches are unknown, however. Using a large-scale bibliographic data set of N = 111,156 Computer Science researchers active from 1993 to 2016, I build and evaluate a realist…
From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making
Prediction algorithms are regularly used to support and automate high-stakes policy decisions about the allocation of scarce public resources. However, data-driven decision-making raises problems of algorithmic fairness and justice. So far, fairness and justice are frequently conflated, with the consequence that distributive justice concerns are not addressed explicitly. In this paper, we approach this issue by distinguishing (a) fairness as a pr…
Effect of Commitment on Supportive Dyadic Coping
Unresolved stress reduces the well-being of romantic relationships. Supportive coping helps resolving stress and protects relationship well-being. However, the conditions that promote supportive coping are largely unknown. According to interdependence theory, commitment promotes relationship maintenance behaviors in general. This study investigates whether commitment also promotes supportive coping. Data come from six waves of the German Family P…
Of centers and peripheries
The conservative revolution revisited
Conducts a comparative analysis of contemporary publishing fields in France, Germany, Sweden, and the United States. • Reveals the oligopolistic structure of publishing fields in which media corporations monopolize access to the mass market and marginalize independent publishers into niche markets. • Documents the blending of artistic and commercial editorial strategies at the poles of restricted production and mass production. The publishing ind…
Computer Science (2 obras) · Economics (2 obras) · German (2 obras) · Intergenerational Family Dynamics and Caregiving (2 obras) · Ambulatory care (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Attachment and Relationship Dynamics (1 obras) · Business (1 obras) · Clinical Psychology (1 obras)