Impact of Dairy Enterprises on Employment Creation and Income Generation in Hadiya Zone, Ethiopia
Bibliographic record
Abstract
This study sought to examine the impact of dairy enterprises on employment creation and income generation in Hadiya zone, Ethiopia. Data were collected from 385 randomly selected household heads, three FGDs participants and five key informants’ interviews. Data were analyzed using descriptive statistics and propensity score matching. The survey results showed that out of 385 sampled household heads 126 (32.5%) were members and the remaining 259 (67.5%) were non-members of micro and small dairy enterprises. The propensity score matching result shows that being member had significant positive impact on members’ employment creation and income generation. The result revealed that the membership resulted in average increment of household’s annually employment creation by about 4 persons (33.98%) and income generation by Birr 12,339.00 (32.57%). The result showed that membership in dairy enterprises had a significant and positive impact on employment creation and income generation. The impact estimates were found to be insensitive to unobserved selection bias. It is, therefore, essential to expand and strengthen development of dairy enterprises and the membership of households in dairy enterprises to increase employment creation and income generation of members.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".