Bibliographic record
Abstract
TitleADJUSTMENT OF LAND-EXPROPRIATED FARMERS IN CHENGDU AuthorLIAO Zheng-tao(College of Politics and Social Sciences,Southwest University for Nationalities,Chengdu Sichuan 610041,China) In temporary sociology research,adjustment of land-expropriated farmers attracts great interests.Statistics of a survey of land-expropriated farmers in Chengdu show that the farmers in Chengdu adjust well in general.About one quarter of the land-expropriated farmers are supported by relatively complete social security,and housing is the most important in their resettlement.Resettlement does not remarkably upgrade or degrade their living standard but it brings about obvious changes to their social network.Also the farmers show very strong desire for employment and for caring the old.An analysis of the statistics reveals that the farmers adjust better when they have better social security support,when more of their former social network is kept and when they get better paid after the resettlement,while those of older ages adjust not that well. KeywordsChengdu;land-expropriated farmers;social security;resettlement;adjustment;issues related with agriculture,farmer and rural area;urbanization;the rural resettlement
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".