African Emerging Adult Resilience: Insights From a Sample of Township Youth
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.
Bibliographic record
Abstract
What enables the resilience of African emerging adults who live in sub-Saharan Africa and must contend with an everyday reality that is characterized by structural disadvantage and related hardship? This question directed the exploratory qualitative research that we report in this article. Its genesis was the relative inattention to the resilience of African emerging adults—that is, young people living in sub-Saharan Africa, aged 18–29. To answer this question, 16 South African participants (average age 21) from a significantly stressed community participated in group interviews and generated digital stories. A deductive analysis of the content yielded the understanding that the self is central to emerging adult resilience. Family members mattered too, but there was scant reference to any other social or ecological resource. These findings urge attention to the dangers to resilience if social ecologies are not resourced to better co-facilitate positive outcomes for disadvantaged emerging adults.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it