When schooling experiences are respectful of children’s rights: A pathway to resilience
Bibliographic record
Abstract
This article reports findings from the Pathways to Resilience study, South Africa. Rooted in a social ecological understanding of resilience, this mixed-methods study investigated resilience processes of black South African youths from poverty-stricken, rural contexts. School-attending youths ( n = 951) completed the Pathways to Resilience Youth Measure (PRYM), which included one resilience measure and two school experience measures. Independent sample t-tests showed that youth reporting agency-supportive school environments ( n = 137) had significantly higher resilience scores than youth with opposite experiences ( n = 330; t(465) = −15.379, p = 0.000). Likewise, youths reporting school staff respect ( n = 171) recorded significantly higher resilience scores than youth who experienced disrespect ( n = 277; t(446) = −14.518, p = 0.000). Subsequently, 130 resilient youths participated in focus groups and/or visual participatory activities to further explore their pathways to resilience. An inductive content analysis of these data illustrated that teacher-facilitated youth agency, aspirations for higher education and employment, and coping with neglect and cruelty, supported resilience processes. Overall, findings suggest that when schooling experiences are supportive of child rights, resilience processes are promoted. This conclusion urges school psychologists and school communities toward transactional practices that support positive youth development in child rights-centred ways.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".