Results 191 to 200 of about 120,483 (277)

Care Leaving and Social Capital: Reflections on Findings From an Exploratory Intercountry African Study

open access: yesChild &Family Social Work, Volume 31, Issue 1, Page 459-468, February 2026.
ABSTRACT Theorizing continues to be a challenge within the burgeoning field of care leaving. This article considers whether ‘social capital’ contributes to explaining the care‐leaving experience. Various views of what constitutes social capital are explored, and a three‐category typology is presented.
Kwabena Frimpong‐Manso   +3 more
wiley   +1 more source

Exploring the Meaning and Experience of Family for Youth Leaving Care: A Scoping Review

open access: yesChild &Family Social Work, Volume 31, Issue 1, Page 636-646, February 2026.
ABSTRACT Family is important to all, but is a complex issue for young people who are transitioning from out‐of‐home care. This scoping review explores the meaning and experience of family for care‐experienced youth and identifies implications for research and practice to support their social wellbeing. It reports on findings from a review of 31 journal
Mandi MacDonald   +4 more
wiley   +1 more source

Reflecting on Democratic Citizenship Education: Compassionate and Imaginative Action, Educational Encounters, and Civic Reconciliation

open access: yesEducational Theory, Volume 76, Issue 1, Page 25-31, February 2026.
Abstract This article reflects on and extends my earlier arguments on democratic citizenship education by foregrounding three interrelated themes: compassionate and imaginative action, educational encounters, and civic reconciliation. I argue that education must move beyond a narrow reliance on deliberative reasoning by cultivating engagement that is ...
Yusef Waghid
wiley   +1 more source

The Use of Artificial Intelligence for Auction Design

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 269-285, February 2026.
ABSTRACT This paper investigates the use of artificial intelligence—specifically, model‐free reinforcement learning—as a method to simulate bidding behavior in auctions. We survey six algorithms that are particularly suitable for learning and bidding in environments with large strategy sets and incomplete information such as auctions.
Peyman Khezr, Kendall Taylor
wiley   +1 more source

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