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Is It Harmful? A Thomistic Perspective on Risk Science in Social Welfare.

Saša Horvat1, Piotr Roszak2, Brian J Taylor3

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Summary

This study examines probabilistic causality in social work using Thomas Aquinas' philosophy. It applies his concepts of rationality, harm, and prudence to understand risk factors in social welfare and child abuse.

Keywords:
EpistemologyProbabilityRiskScholastic philosophySocial work

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Area of Science:

  • Philosophy of Science
  • Social Work Theory
  • Epistemology

Background:

  • Probabilistic information is increasingly utilized across diverse fields, including medicine and meteorology.
  • Social work frequently employs probabilistic causal language to describe relationships between harms and functional limitations.
  • A philosophical framework is needed to understand probability and causality, particularly within social welfare contexts.

Purpose of the Study:

  • To explore causal understandings of probabilistic knowledge through the lens of Thomas Aquinas' philosophical concepts.
  • To apply Aquinas' anthropological and epistemological ideas to contemporary social welfare terminology and risk science.
  • To analyze social welfare concepts of risk, such as factors 'causative of' child abuse, using scholastic philosophy.

Main Methods:

  • Philosophical analysis of probabilistic causality.
  • Application of Thomas Aquinas' concepts (rationality, harm, prudence) to social welfare.
  • Exploration of epistemological concepts from scholastic philosophy in relation to risk science.

Main Results:

  • Aquinas' concepts offer a framework for understanding probabilistic causal relationships in social work.
  • Scholastic epistemology provides tools for analyzing risk terminology in social welfare.
  • The study bridges historical philosophical thought with contemporary social welfare challenges.

Conclusions:

  • Thomas Aquinas' philosophy provides a robust framework for understanding probabilistic causality in social work.
  • Applying his concepts enhances the analysis of risk factors and their impact on well-being.
  • This interdisciplinary approach offers new insights into social welfare and risk science.