Resilience in children and youth in street situations in León, Nicaragua
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".