Distributional Strategy of Fish Product in Asari-Toru Local Government Area of Rivers State
Bibliographic record
Abstract
The study examined the distributional strategy of fish product in Asari-Toru Local Government Area of Rivers State, South-South zone, Nigeria. The objective of the study is to investigate the current distribution strategy of the rural fishermen and their sellers (middlemen) and to suggest how to improve on their strategy in moving their fish product to the urban market in order to decrease losses incurred. To determine the sample size, the study adopted Taro Yamen’s method. Total population of Asari-Toru Local government area was 385,841 (1991 population census record) in Nigeria. Applying the formula: n = . We have 400; we then stratified the local government area into four (4) fishing zones. Then, judgmental sampling technique was adopted to select 400 respondents from the four (4) zones. Data were collected from the respondents with structured questionnaire and data collected were analyzed both descriptive and inferential statistic. Hence, chi-square was applied at 0.05 level of significance. The study revealed that the resellers (middlemen) and fishermen lacked the insight of what it entails towards distribution strategy in this modern business environment. In other word, they lack knowledge of proper planning, storage and publicizing so as to operate in a suitable distribution channels for their products. The study found that, the use of Air and Rail transport is completely absent in the area. The only major road is the one link the local government headquarters, all other communities mode of transportation is the swampy salt water. However, since their products are perishable, intensive distributional strategy is appropriate in their business.
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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 | 0.000 |
| 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 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".