A search for commonalities in defining the common good: Using folk theories to unlock shared conceptions.
Saved in:
| Title: | A search for commonalities in defining the common good: Using folk theories to unlock shared conceptions. |
|---|---|
| Authors: | Wheeler, Melissa A., Wilson, Samuel G., Baes, Naomi, Demsar, Vlad |
| Source: | British Journal of Social Psychology. Apr2024, Vol. 63 Issue 2, p956-974. 19p. |
| Subjects: | Research funding, Cultural values, Psychology, Ethical decision making, Ethics, Social skills, Social values, Theory, Stakeholder analysis, Political participation |
| Abstract: | Throughout the course of scholarly history, some concepts have been notoriously hard to define. The 'common good' is one such concept. While the common good has a long and contested scholarly history, social psychology research on folk theories – lay beliefs that represent an individual's informal and subjective understanding of the world – may provide a key for unlocking this nebulous concept. In the current paper, we analysed lay definitions of the common good using the linguistic inquiry and word count's meaning extraction method. From a nationally representative Australian sample of open‐ended text responses (n = 14,303), we uncovered a consistent conceptual structure, with nine themes corresponding to three core aspects: (i) outcomes and objects, (ii) principles and processes and (iii) stakeholders and beneficiaries. From this, we developed a working definition of the folk concept of the common good: 'achieving the best possible outcome for the largest number of people, which is underpinned by decision‐making that is ethically and morally sound and varies by the context in which the decisions are made'. A working definition benefits the academic community and society more broadly, particularly when diverse stakeholders come together to act for the common good to address shared challenges. [ABSTRACT FROM AUTHOR] |
| Copyright of British Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
