Analysis of the Use of Local Resources in Extension Education Programme in Nkonkobe Local Municipality of Eastern Cape
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
The paper identified the available local resources for extension education and the constraints in the use of these local resources in Nkonkobe local Municipality. The survey was conducted in the peri-urban areas of Fort Beaufort, Alice, Seymour, Balfour, Hogsback and Middledrift from 7th to 29th September 2010 by interviewing 58 farmers on the identification of local resources and their perception of constraints in the use of local resources. The study revealed that there are local resources embedded in the area for use in Extension teaching and learning. The perception of constraint (inadequate access to local resources) increased significantly with age (P = 0.04) and farm experience (P = 0.045). The fundamental strategies for a successful Extension work should be to develop a process which not only creates co-operative platforms for the use of local resources for rural improvement, but also reinforces farmer’s ingenuity and inspires them to learn and accept innovation.The available local resources in Nkonkobe Local Municipality are well distributed in the community and are important for the achievement of educational goals in Extension teaching and learning.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it