Informal Construction Employment, Earnings and Activities: A Boon or Bane for Tanzania?
Bibliographic record
Abstract
This paper assesses whether the growth of informal construction employment and activities in Tanzania are a boon or bane for informal workers. It examines the importance of employment and income provision, employment conditions, and linkages between formal and informal firms. It also examines the determinants of earnings of workers and the challenges faced by the informal construction sector. The study finds that informal construction activities are important in providing employment and income to people, although a significant number of employees work without contracts and pensions. The level of informal sector earnings is also lower than that of the formal sector. The statistically significant results from regression analysis of the determinants of earnings, which are positively related to earnings are: age, education level, and number of years of experience. The policy implications of this study include: the need for informal construction employees to be affiliated to pensions and health insurance benefits; requirement of a mechanism to enable them to formalize easily in order for them to access credit and to expand their operations; improvement in their skills to enhance their income levels so as to reduce poverty; and to empower them to share in the growth of construction activities.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".