Investigating volunteer activities in South Africa
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
This is the first South African study that analysed all three available waves of Statistics South Africa’s Volunteer Activities Survey data, which was linked to the Quarterly Labour Force Survey in the third quarter of the same year (2010, 2014 and 2018). The empirical findings showed that volunteers were predominantly female Africans without Matric, aged 25–34 years and resided in the urban areas of KwaZulu-Natal, Gauteng and Limpopo. In 2018 the labour force participation rate and unemployment rate of the volunteers were 62% and 34% respectively. These rates were both a bit higher than the corresponding rates of people who did not volunteer. The volunteers spent 20 h in the past four weeks on volunteering activities relating to service work and elementary occupations. More than 85% of volunteers did not expect to receive anything back. For those who indicated otherwise, they most likely expected to receive out-of-pocket expenses and food.
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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 0.001 |
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