Older Informal Workers in the COVID-19 Crisis
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
In the study, older informal workers are defined as those aged 60 or older. Approximately 13 per \ncent (288) of the sampled informal workers are older workers, with 63 per cent of them women \nand 37 per cent men. Men are over-represented among older workers as their share within this age \ngroup is higher than among the younger workers surveyed. \nThe number and percentage of older workers varies significantly between cities and sectors as \nshown in Figures 1 and 2. Older workers made up a larger proportion of the sample population \nin New York and Pleven but had much less presence in the samples from relatively youthful cities \nsuch as Dakar and Dar es Salaam. Sectoral differences were also seen, with older workers noticeably absent in categories of work such as motorcycle drivers and massage therapists in Bangkok, \nand kayayei (headload porters) in Accra.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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