Impact of Negative Life Events and Social Support on Nonsuicidal Self-Injury Among Chinese Middle School Students
Bibliographic record
Abstract
The field of nonsuicidal self-injury (NSSI) is dominated by research conducted with Caucasian majority samples in Western countries such as North America and Europe. Far less NSSI-related research is conducted in non-Western cultures, even though NSSI behavior is a growing issue in China where studies have found that NSSI among youth occurs at a higher prevalence and has an earlier onset as compared to Western studies. Based on the data collected from middle school students in Xi’an, China, this article tries to figure out the predictive factors that are related to adolescents’ NSSI using gender analysis, specially negative life events and social support, and the following conclusions are drawn: (a) There is no significant gender difference in the prevalence of NSSI of middle school students. (b) Negative life events are the risk factors of middle school students’ NSSI engagement. Individuals with higher scores of negative life events are more likely to have NSSI. (c) Social support is a protective factor of middle school students’ NSSI, which has main effect and also as a moderator to NSSI, individuals received more social support are less likely to engage in NSSI.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".