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Record W2003546283 · doi:10.1007/s10464-013-9605-3

Central Role of Relatedness in Alaska Native Youth Resilience: Preliminary Themes from One Site of the Circumpolar Indigenous Pathways to Adulthood (CIPA) Study

2013· article· en· W2003546283 on OpenAlexaff
Lisa Wexler, Joshua Moses, Kim Hopper, Linda Joule, Joseph Garoutte

Bibliographic record

VenueAmerican Journal of Community Psychology · 2013
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsMcGill UniversityJewish General Hospital
FundersNational Science Foundation
KeywordsPsychological resilienceIndigenousKinshipNarrativeContext (archaeology)PsychologyDevelopmental psychologySocial psychologyStressorHealth psychologyQualitative researchPositive Youth DevelopmentSociologyGender studiesPublic healthEcologyGeographySocial scienceClinical psychology

Abstract

fetched live from OpenAlex

This qualitative study of youth resilience takes place in an Alaska Native community, which has undergone rapid, imposed social change over the last three generations. Elders, and successive generations have grown up in strikingly different social, economic and political contexts. Youth narratives of relationships in the context of adolescent growth and development offer insights to better understand culturally-patterned experience, continuity and change. Local youth and adults shaped the design, implementation and analysis phases of this participatory study. Multiple interviews, totaling 20 older (ages 15-18) and younger (11-14) boys and girls provide accounts of everyday lives and life histories. Although losing close relationships was the most common stressor, many of the participants' resilience strategies centered on their connections to others. Participants cultivated 'relatedness', nurturing relationships that took on kinship qualities. Within these relationships, youth participants acted more responsibly and/or developed a sense of competency and self-worth because of others' reliance on them.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.347
Teacher spread0.318 · 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 designQualitative
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

Citations33
Published2013
Admission routes1
Has abstractyes

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