Benefits Perceived by Members and Factors Influencing Membership of Farmer Producer Organizations in Middle Gujarat
Bibliographic record
Abstract
This study analyses benefits perceived by member farmers and factors influencing the membership in Farmer Producer Organizations in Middle Gujarat region. FPOs play a crucial role in providing improved access to better market, finance, technology, inputs etc. Through comprehensive data collection from 200 respondents equally from FPO members and non-members, the study reveals significant differences between the two groups. FPO members tend to be more educated, with smaller landholdings and better housing conditions, engaging in diverse economic activities. Perceived benefits experienced by FPO members include access to credit facilities, infrastructure support and essential inputs at lower prices. Regression analysis shows that age and education significantly influence farmers decision to join FPOs, along with factors like income levels, access to credit and resources, market access and post-harvest facilities. Larger farm size negatively correlates with FPO membership, highlighting the value of FPOs in addressing resource constraints and enhancing market access for small and marginal farmers. It underscores the importance of FPOs in empowering farmers, providing crucial resources, infrastructure and market linkages. This research sheds light on the essential role of FPOs in exposing many opportunities for member farmers. It advocates for targeted agricultural development and emphasizes the power of FPOs in empowering farmers and catalyzing their socio-economic progress.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".