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  The Hidden Talents Framework: Implications for Science, Policy, and Practice

Ellis, B. J., Abrams, L. S., Masten, A. S., Sternberg, R. J., Tottenham, N., & Frankenhuis, W. E. (2023). The Hidden Talents Framework: Implications for Science, Policy, and Practice. Cambridge: Cambridge University Press.

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https://doi.org/10.1017/9781009350051 (Any fulltext)
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 Creators:
Ellis, Bruce J., Author
Abrams, Laura S., Author
Masten, Ann S., Author
Sternberg, Robert J., Author
Tottenham, Nim, Author
Frankenhuis, Willem E.1, Author           
Affiliations:
1Criminology, Max Planck Institute for the Study of Crime, Security and Law, Max Planck Society, ou_2489695              

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 Abstract: Although early-life adversity can undermine healthy development, an evolutionary-developmental perspective implies that children growing up in harsh environments will develop intact, or even enhanced, skills for solving problems in high‐adversity contexts (i.e., 'hidden talents'). This Element situates the hidden talents model within a larger interdisciplinary framework. Summarizing theory and research on hidden talents, it proposes that stress-adapted skills represent a form of adaptive intelligence enabling individuals to function within the constraints of harsh environments. It discusses potential applications of this perspective to multiple sectors concerned with youth from harsh environments, including education, social services, and juvenile justice, and compares the hidden talents model with contemporary developmental resilience models. The hidden talents approach, it concludes, offers exciting directions for research on childhood adversity, with translational implications for leveraging stress-adapted skills to more effectively tailor education, jobs, and interventions to fit the needs of individuals from a diverse range of life circumstances.

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Language(s): eng - English
 Dates: 2023
 Publication Status: Issued
 Pages: -
 Publishing info: Cambridge : Cambridge University Press
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 Identifiers: DOI: 10.1017/9781009350051
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Title: Elements in Applied Evolutionary Science
Source Genre: Series
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