The impacts of maternal separation experience and its pattern on depression and dysfunctional attitude in middle school students in rural China
Bibliographic record
Abstract
BACKGROUND: In China, because of the growth of economically driven rural-to-urban migration, there are lots of children in rural area who are separating or have separation experience with their parents. Until now, few studies focused on solely maternal separation and no research studied whether its pattern will affect children's later psychological status. AIM: The aim of this study was to determine whether early or late maternal separation affects depression and dysfunctional attitude in middle school students and what is the role of cumulative duration and meeting frequency. METHODS: Maternal separation experience was obtained by using questionnaires. We got early maternal separation group first. Then, late maternal separation and control group were obtained with the same number by matching grade, sex and family socioeconomic status. All the students in the three groups completed the scales of Children's Depression Inventory (CDI) and Dysfunctional Attitude Scale (DAS). RESULTS: Both CDI and DAS scores of early separation group are higher than the other two groups. When we split the data by sex, only females presented the same results. When cumulative duration is short, there is significant difference in both scores of CDI and DAS among the three groups, which showed the scores of early separation group are higher than the other two groups. When the cumulative duration is long, there is no significant difference among the three groups. When meeting frequency is high, there is no significant difference among the three groups. When it is low, there is significant difference among the three groups, which showed the CDI and DAS scores of early separation group are higher than the other two groups. Furthermore, the same results are also found in females. CONCLUSION: Early maternal separation may exert negative influence on student's depression and dysfunctional attitude. The sex, cumulative duration and meeting frequency may also play important roles in the effect.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".