Correlates of Revenue among Small Scale Women Fish Processors in Coastal 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
The objective of this study was to analyse the factors that influence revenue generation among women in fish processing in coastal Ghana. Primary data was collected using a well structured questionnaire administered on 746 women who process fish in selected communities in Central, Greater Accra and Western Regions. Using weekly revenue as the outcome variable, the multinomial logit regression (MLR) and ordinary least squares (OLS) were used to predict and estimate the correlates of revenue generated from fish processing. The results show that higher levels of savings are likely to influence higher levels of revenue. Fish smoking and frying produces more revenue with reference to drying and salting. Furthermore, hours spent in business are also likely to increase revenue relative to low levels of revenue. The findings also indicate that at all levels of revenue, experience matters. Moreover, formal account ownership does not significantly influence revenue at all levels. The derived policy implications are to design strategies that will increase women potential in revenue generation in the informal sector.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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