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Record W4384926148 · doi:10.1002/jcop.23079

Resilience in children and youth in street situations in León, Nicaragua

2023· article· en· W4384926148 on OpenAlex
Kayla Hamel, Yvonne Bohr

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Community Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsYork University
Fundersnot available
KeywordsContext (archaeology)Focus groupPsychological resiliencePsychological interventionResilience (materials science)Family resilienceGrounded theoryPsychologySociologyQualitative researchAgency (philosophy)Flexibility (engineering)Social psychologyGeographyManagementSocial science

Abstract

fetched live from OpenAlex

There are tens of millions of children and youth in street situations (CYSS) worldwide, the majority of whom are males living in low- and middle-income countries. Many of these children demonstrate impressive adaptability and resilience. The focus of the current research was on the resilience of male CYSS in León, Nicaragua. Qualitative data were collected through individual interviews and focus groups with CYSS, their family members, community members, and staff of a local nonprofit, with the objective of exploring and consolidating local understandings of resilience. Grounded theory analysis of qualitative data yielded a context-specific conceptual model of resilience as it pertains to CYSS in León. Six qualities were identified to represent the experience of resilience in this group: agency, belonging, flexibility, protection, self-regulation, and self-worth. The knowledge generated from this research can serve as a foundation to develop and implement resilience-promoting interventions for CYSS.

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.

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)0.002
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 score0.017
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.067
GPT teacher head0.448
Teacher spread0.381 · 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