Self-Esteem, Resilience, Social Support, and Acculturative Stress as Predictors of Loneliness in Chinese Internal Migrant Children: A Model-Testing Longitudinal Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present study examined the risk and protective factors of loneliness among Chinese internal migrant children (CIMC) in Beijing, China, including self-esteem, resilience, social support, and acculturative stress. Longitudinal survey data were collected from a large sample of 4th, 5th, and 6th grade CIMC from three schools in Beijing, at four time points (N = 862 at T1 to N = 837 at T4) over a 20-month period. Grounded in the Cultural and Contextual Model of Coping and the Acculturation Theory, two predictor models of loneliness were tested with path analysis. The results yielded the following: a) the two predictor models fit the data well; b) CIMC’s T1 self-esteem and T1 resilience protected them against loneliness at T4; and c) CIMC’s T2 social support seeking was a significant mediator between self-esteem and loneliness, and between resilience and loneliness; and d) similarly, CIMC’s T3 acculturative stress was a significant mediator between self-esteem and loneliness, and between resilience and loneliness. The study’s results highlight the merit and importance of implementing theoretically-guided, model-testing research grounded in a prospective research design, to help advance CIMC research. Implications for future research on and practical support for CIMC are discussed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it