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Resilience and development: Contributions from the study of children who overcome adversity
Abstract
This article reviews the research on resilience in order to delineate its significance and potential for understanding normal development. Resilience refers to the process of, capacity for, or outcome of successful adaptation despite challenging or threatening circumstances. Three resilience phenomena are reviewed: (a) good outcomes in high-risk children, (b) sustained competence in children under stress, and (c) recovery from trauma. It is concluded that human psychological development is highly buffered and that long-lasting consequences of adversity usually are associated with either organic damage or severe interference in the normative protective processes embedded in the caregiving system. Children who experience chronic adversity fare better or recover more successfully when they have a positive relationship with a competent adult, they are good learners and problem-solvers, they are engaging to other people, and they have areas of competence and perceived efficacy valued by self or society. Future studies of resilience will need to focus on processes that facilitate adaptation. Such studies have the potential to illuminate the range and self-righting properties of, constraints on, and linkages among different aspects of cognitive, emotional, and social development.
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Metadata
- Authors
- Masten, A. S., Best, K. M., & Garmezy, N.
- Venue
- Development and Psychopathology
- Publisher
- Cambridge University Press (CUP)
- Published
- 1990-10
- Volume
- 2
- Issue
- 4
- Pages
- 425-444
- ISSN
- 0954-5794 (ISSN-L)
- 1469-2198
- OpenAlex
- W2126400437
- Cited by
- 3,360
- References
- 5
- FWCI
- 13.86
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.