COVID-19 Crisis and the Informal Economy: Informal Workers in Pleven, Bulgaria
Bibliographic record
Abstract
COVID-19 Crisis and the Informal Economy is a WIEGO-led 12-city longitudinal study that assesses the impact of the COVID-19 crisis on specific groups of informal workers and their households. Using a survey questionnaire and in-depth interviews, Round 1 assessed the impact of the crisis in April 2020 (the period of peak restrictions) and in May/June 2020 (when restrictions had been eased) in comparison to February 2020 (pre-COVID-19). Round 2 will assess continuing impacts versus signs of recovery in the first half of 2021, compared to the pre-COVID-19 period and Round 1. \n \nThis report presents the summary findings of Round 1 of the study in Pleven, Bulgaria. Researchers in Pleven surveyed home-based workers, street vendors, and domestic workers who are members of the Bulgarian Trade Union of Self-employed and Informal Workers (UNITY). They also interviewed six informal-worker leaders and two key informants from government and civil society. \n \nThis work was carried out with the aid of a grant from the International Development Research Centre, Ottawa, Canada. The views expressed herein do not necessarily represent those of IDRC or its Board of Governors.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".