Human Resource Underutilization in an Era of Poverty Reduction: An Analysis of Unemployment and Underemployment in Ghana
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
Abstract: Unemployment is more prevalent in urban than rural Ghana, while underemployment is pervasive in rural Ghana. The paper analyses trends in these two forms of human resource underutilization and examines their major determinants. It is found that a positive association exists between the underemployment rate and the incidence of poverty in specific industries. The data supports the importance of demographics, education and firm sizes as major determinants of unemployment. Furthermore, these factors together with type of employment are the factors influencing underemployment. To reduce the level of unemployment and underemployment, the government should provide support for: (1) growth of private sector firms and informal sector activities; and (2) rural alternatives to agricultural activities. These implications are also relevant to other African countries trying to combat the twin problems of unemployment and underemployment.
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) | 0.001 | 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) | 0.000 | 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