The public extension in the last quarter century in Manisa Province in Türkiye
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: The objective of this study was to reveal some extension indicators in the province, to contribute to the extension memory of the country, and to develop advice for the extension system by examining the change in the last quarter century. Material and Methods: The main material of the study consisted of the data from 229 extensionists working in Manisa Provincial Directorate of Agriculture and Forestry and some district directorates. Logistic regression analysis was used to determine factors affecting occupational satisfaction of extensionists. Results: The number of young, female and university educated extensionists has increased. While the time devoted to extension has decreased, the bureaucratic workload has increased. The number of farmers served by an extensionist increased by 43% during the covered period. Extensionists who spend a lot of time on farmer training were found to become satisfied with their work. Conclusion: The employment policy should be planned in such a way that one extensionist serves 200 farmers. Extension activities should be carried out with project logic by defining criteria such as time, region, targets, budget, opportunities, collaborations, and result indicators.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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