Assessment of India's Agrometeorological Advisory Service from a farmer perspective
Why this work is in the frame
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Bibliographic record
Abstract
This report summarizes the results of the CGIAR Research Program on Climate \nChange, Agriculture and Food Security (CCAFS) commissioned evaluation of India’s \nIntegrated Agro-meteorological Advisory Service (AAS). Conducted June-July of \n2012, this assessment was a joint endeavour of CCAFS, the International Crops \nResearch Institute for the Semi-Arid Tropics, and the India Meteorological \nDepartment (IMD). The assessment sought to offer transferable lessons that can guide \ninvestment in climate/agro-meteorological advisory services elsewhere in the world. \nResearchers conducted focus groups and individual interviews with 132 male and \nfemale farmers in eighteen villages across six states about how they receive and use \nAAS advisories, perceived gaps, and suggestions for improvement. The assessment \nuncovered the key role of diverse communications approaches. In villages where \nmany communications channels were used to disseminate AAS information, such as \nSMS and voice messaging, meetings and trainings with agricultural extension \nofficers, local knowledge centers, farmers clubs, and announcements over the \nmicrophone in villages, awareness and use of AAS advisories was higher. Farmers \nnoted that trainings and discussions with agricultural extension officers at the village \nlevel were their preferred form of receiving information. However, ensuring wide \nrepresentation in discussions is critical. In villages where women were fully engaged \nin receiving and disseminating AAS information, use and potential benefit from the \nprogram were maximized. Women overall had lower awareness of AAS than men do, \nindicating the importance of targeting women and information that responds to the \ndemands of women in communications efforts. The establishment of specific trainings \nand discussions on AAS for women farmers in the villages was recommended by \nfarmers, as were trainings and interactions with scientists that all farmers can attend. \nMembership in women’s or farmers groups may be a positive factor in increasing \nawareness of AAS information, and extension services targeting existing local groups \ncould be a strategy for increasing the impact of AAS information.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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