The Resilience of Emerging Adults in a Stressed Industrialised Environment in Eswatini
Bibliographic record
Abstract
Transitioning to adulthood can be stressful, particularly when young people live in challenging contexts. One such context is Eswatini, a low-income African country challenged by structural violence. Still, how Swazi emerging adults mitigate related challenges is unknown. To redress this knowledge gap, we report a qualitative study with 30 Swazi emerging adults (15 men; 15 women; 18-to-24-years) living in Matsapha, an industrial hub characterised by relentless physical, social, and financial stressors. Using reflexive thematic analysis, we found that a mix of resources (personal drive, enabling connections, a resourced ecology) co-supported resilience to stressors that emerging adults perceived as unavoidable. The detail of this resource-mix implies that emerging adult resilience is a developmentally and contextually responsive process. The findings also signpost that emerging adult resilience is a collaborative effort, one that requires an enabling physical and relational environment, and government commitment to co-facilitating that environment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".