MétaCan
Menu
Back to cohort
Record W3007368209 · doi:10.18357/ijcyfs111202019475

Youth Conceptualization of Resilience Strategies in Four Low- and Middle-Income Countries

2020· article· en· W3007368209 on OpenAlexvenueno aff
Panos Vostanis, Sadiyya Haffejee, Hikmet Yazıcı, Sajida Abdul Hussein, Münevver Özdemir, Cansu Tosun, John Maltby

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2020
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantagedIntrapersonal communicationPsychological interventionThematic analysisConceptualizationPsychological resiliencePsychologyInterpersonal communicationSociologyEconomic growthSocial psychologyDevelopmental psychologyQualitative researchSocial science

Abstract

fetched live from OpenAlex

The concept of resilience is increasingly influential in the development of interventions and services for young people, yet there is limited knowledge of how resilience-building strategies are conceptualized by young people across different cultures, particularly in low- and middle-income countries. The aim of this study was to capture 274 young people’s voices in disadvantaged communities in Kenya, Turkey, Pakistan, and Brazil through participatory research methods. Young people defined strategies in response to 4 adversity scenarios reflecting socioecological systems (young person, family, school, and community). Template analysis, underpinned by thematic design, was used to establish three broad themes of intrapersonal (self-management, cognitive re-appraisal, agency), interpersonal (social engagement, informal supports, formal supports), and religious resources. Proposed strategies were largely similar across the sites, with some contextual differences depending on the scenario (stressor) and cultural group. The findings support an ecological systems approach to resilience, which is consistent with the development of multimodal interventions for vulnerable youth and their families in disadvantaged communities in low- and middle-income countries.

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 score0.037
Threshold uncertainty score0.319

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 head0.056
GPT teacher head0.363
Teacher spread0.307 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Child Youth and Family StudiesSame topicResilience and Mental HealthFrench-language works237,207