Demographic, Psychological, and Social Environmental Factors of Loneliness and Satisfaction among Rural-to-Urban Migrants in Shanghai, China
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
This study examined factors of loneliness and satisfaction among rural-to-urban migrants in Shanghai, China. Data used in this study were from the Shanghai Rural-to-Urban Migrant Worker Survey conducted by the Institute of Demographic Research, Fudan University. Ordinal logit models were fit to test the hypotheses. A host of demographic, socioeconomic, psychosocial, and neighborhood factors were identified as strong correlates of loneliness and satisfaction among migrants. The effect of experienced discrimination was overwhelmingly negative on migrant mental well-being. Improving migrants' work and living environment, increasing neighborhood amenities, and taking measures to facilitate migrant family members' living together seem to be potentially fruitful ways to promote migrant mental well-being in China.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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 it