Assessment of Operational Efficiency Among Wholesalers and Retailers of Vegetables in Igalaland of Kogi State, Nigeria
Bibliographic record
Abstract
Assessment of operational efficiency among wholesales and retailers is one of the many measures of market performance. The costs of operations are heightening by cost of transportation on the bad roads. Vegetables are perishable products and needs to be distributed as quickly as possible. The objective of the study is to assess the operational efficiency of vegetable distribution in Igala land of Kogi State. The wholesalers and retailers of vegetables from each of the three main markets of the commodity were randomly selected for the study. Analysis of data collected by use of questionnaire was accomplished through employing analytical models such as relative operational efficiency, operational efficiency coefficient, marketing margin and multiple regressions. Results showed that operational efficiency varied among the two classes of middlemen in the three markets and was significantly affected by experience, speed of distribution and total value of sales. Better results can be achieved if production and consumption are stimulated through efficient distribution system.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".