Study on the Psychological Problems of Left-Behind Children in Rural Areas and Countermeasures
Bibliographic record
Abstract
The issue of left-behind children in rural areas is a social problem which arises in the process of urbanization in which labor forces in rural areas migrate to urban cities. With the expedition of the process of industrialization and urbanization, a large majority of rural labor forces flow to urban cities. As a result, the phenomenon of left-behind children becomes more prominent who have become an important group in building a harmonious socialist society in China. As they are isolated from their parents for a long period of time, quite a lot of left-behind children have the problems of inferiority complex, psychological inversion, interpersonal disorder and deviation between personality and behavior, etc.. The underlying reasons for these problems are absence of parents’ education, inappropriate education by guardians, inadequate school education and unhealthy social education, etc. This paper suggests improving family education, making full use of resources in school education, integrating social power to construct the education and custody system of left-behind children and educating left-behind children to strengthen their own psychological quality cultivation, and doing a good job of education in left-behind children in rural areas.
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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 | 0.005 | 0.001 |
| 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 | 0.041 |
| 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".