Causes and Effects of Frequent and Unannounced Electricity Blackouts on the Operations of Micro and Small Scale Industries in Kumasi
Why this work is in the frame
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Bibliographic record
Abstract
The aim of this paper was to examine the causes and effects of the frequent and unannounced electricity blackouts on the operations of micro and small scale industries (MSI) in Kumasi, Ghana. Data from a sample of 320 MSI selected from three industrial clusters in the Kumasi metropolis, revealed that the frequent and unannounced blackouts have caused a deficit of about 5.3% in the quantity of electricity they required for continuous operations. The blackout hours were estimated to last for an average of 10.3 hours per month. As a consequence of the blackouts, about 44% of the MSI spent this duration in redundancy because of lack of alternative sources of electricity but maintained the same labour cost. The remaining 56% of the MSI obtained power from alternative sources which required an average of GH¢15.5 per month to run. The paper concludes that uninterrupted electricity supply is vital for the effectiveness of the MSI.
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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 | 0.001 | 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) | 0.000 | 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