Relationship between livelihood capital and livelihood strategy of rural households:A case of Nyingchi in Tibet
Bibliographic record
Abstract
Based on the questionnaire survey and participatory rural appraisal(PRA),quantitative evaluation on the livelihood assets in Nyingchi District was made,the relationship between livelihood assets and livelihood strategies was analyzed.The main research results are as follows.Firstly,the stock of natural capital is higher,but the stock of human capital,social capital,financial capital and physical capital are lower,so that the configuration of livelihood assets couldn't be optimized properly.Secondly,households possessing financial capital and human capital are higher,so it tends to non-agricultural activities,and while those with abundant natural and material capital are more willing to agricultural activities.Thirdly,the government must enhance the support of information,fund and technology in order to achieve the livelihood diversity and strengthen the ability to resist risks,and must enhance the stock of livelihood for farmers in order to improve the livelihood level for farmers.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".