MétaCan
Menu
Back to cohort
Record W1498075181

Nurturing hidden resilience in at-risk youth in different cultures.

2006· article· en· W1498075181 on OpenAlexaff
Michael Ungar

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsResilience (materials science)PsychologySociology
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: While there has been growing interest in the concept of resilience, there has been little attention paid to the cultural and contextual factors that influence children's healthy growth and development under adversity. Using findings from the International Resilience Project, a study of over 1500 youth in 11 countries on five continents, it has been possible to show that there are both generic and culturally specific aspects to resilience. METHOD: Fourteen communities were invited to participate based on the variability in the risks children face in each setting. A minimum of 60 youth in each community were administered the Child and Youth Resilience Measure. Qualitative interviews were also conducted with a subsample of youth. RESULTS: Both homogeneity and heterogeneity in the overall sample was demonstrated, with exploratory factor analyses suggesting at least four subgroups of youth distinguished by their status as Western or non-Western, boys or girls, and the degree of social cohesion of their communities. Qualitative data explains these differences as related to seven tensions experienced by youth developmentally. CONCLUSION: This work highlights the need for greater cultural and contextual sensitivity in how resilience is understood. Implications for practice with at-risk youth include the need to understand the contextual specificity of positive development under stress.

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 score0.075
Threshold uncertainty score0.933

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 head0.022
GPT teacher head0.303
Teacher spread0.281 · 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

Citations88
Published2006
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicResilience and Mental HealthFrench-language works237,207