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Record W2313159736 · doi:10.1017/gmh.2015.19

Patterns of individual coping, engagement with social supports and use of formal services among a five-country sample of resilient youth

2015· article· en· W2313159736 on OpenAlexaff
Michael Ungar, Linda Theron, Linda Liebenberg, Guoxiu Tian, Alexandra Restrepo, Jackie Sanders, Robyn Munford, S. L. RUSSELL

Bibliographic record

VenueCambridge Prisms Global Mental Health · 2015
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGrounded theoryPsychologyPsychological interventionCoping (psychology)Psychological resilienceMental healthQualitative researchDevelopmental psychologySocial psychologySociologyClinical psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Although resilience among victims of child abuse is commonly understood as a process of interaction between individuals and their environments, there have been very few studies of how children's individual coping strategies, social supports and formal services combine to promote well-being. METHOD: For this study, we conducted a multi-phase analysis of a qualitative dataset of 608 interviews with young people from five countries using grounded theory strategies to build a substantive theory of young people's service and support use patterns. We started with an analysis of ten interviews (two from each country) and then compared these findings to patterns found in each country's full dataset. RESULTS: The substantive theory that emerged explains young people's transience between individual coping strategies (cognitive and behavioral), reliance on social supports (family members, peers and teachers), and engagement with formal service providers whose roles are to provide interventions and case management. Young people's patterns of navigation were shown to be contingent upon the individual's risk exposure, his or her individual capacity to cope, and the quality of the formal and informal supports and services that are available and accessible. CONCLUSION: Differing amounts of formal resources in low-, middle- and high-income countries influence patterns of service use. Implications for better coordination between formal mental health services and social supports are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.311
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2015
Admission routes1
Has abstractyes

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