Urban sustainability and the subjective well‐being of migrants: The role of risks, place attachment, and aspirations
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
Abstract While material conditions of migrant populations on average tend to improve over time as they become established in new destinations, individual trajectories of material and subjective well‐being often diverge. Here, we analyse how social and environmental factors in the urban environment shape the subjective well‐being of migrant populations. We hypothesise these factors to include (a) perceived social and environmental risk, (b) attachment to place, and (c) migrant aspirations. We analyse data from a cross‐sectional survey of 2641 individual migrants in seven cities across Ghana, India, and Bangladesh. The results show that the persistence of inferior material conditions, exposure to environmental hazards, and constrained access to services and employment affect migrants' subjective well‐being. Hence, social and environmental risks constitute urban precarity for migrants whose social vulnerability persist in their destination. Meeting migration‐related aspirations and developing an affinity to urban destinations have the potential to mitigate negative sentiments from perceived risks. These findings have implications for future urban planning and sustainability.
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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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