Investigation and Analysis of Present Situation and Educational Countermeasures and Cultural Needs of Farmers
Bibliographic record
Abstract
The samples, from 21 provinces, municipalities directly under the central government, 107 villages, 30 towns, are altogether 3,577. The survey found, the cultural demand of farmers is generally healthy and positive. What they need most are cultural knowledge of computer technology, disease prevention knowledge, legal knowledge to deal with disputes, migrant workers rights of women and children protection law, recreational activities are singing and dancing, favorite sports activities the first three are the small ball (table tennis badminton), major sports (basketball and volleyball football) and the short or long runs. And there are some differences in age, gender, and cultural degree of life state between these demands. Investigation and analysis reflect that, some activities already undertaken can’t meet the need, and some farmers on the surface needn’t culture, but actually reflect the lag of cultural spiritual pursuit. By contrast with sports, entertainment is more short of physical activity. Farmers’ favorite access to cultural knowledge is face-to-face teaching. However, the “information price ratio” of “three rural areas “ activities are lower than others. According to the problems, we put forward some strategic suggestions on software and hardware.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".