‘Now my life is stuck!’: Experiences of adolescents and young people during COVID-19 lockdown in South Africa
Bibliographic record
Abstract
Consequences of COVID-19 pandemic responses have included exacerbated poverty, food insecurity and state and domestic violence. Such effects may be particularly pronounced amongst adolescents and young people living in contexts of precarity and constraint, including in South Africa. However, there are evidence gaps on the lived experiences of this group. We conducted telephonic semi-structured interviews with adolescents and young people in two South African provinces (n = 12, ages 18–25) in April 2020 to explore and document their experiences, challenges and coping strategies during strict COVID-19 lockdown. Participants described indirect effects of COVID-19 including food insecurity, lost livelihoods and changes to social service provisions such as municipal electricity services and sanitation. Psychosocial stressors related to uncertainty over education and work futures were also discussed. The aforementioned challenges were particularly present with young parents, ‘working poor’ participants, and those with pre-existing mental health challenges. Participants demonstrated excellent COVID-19 transmission and prevention knowledge, showing that they had received and correctly interpreted public health messaging. Despite this, many simultaneously held non-scientific COVID-19 beliefs. Engaging a socio ecological framework, findings demonstrate how the indirect effects of COVID-19 may exacerbate underlying multi-layered vulnerabilities for adolescents and young people living in contexts of precarity and constraint.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".