Migrants’ wellbeing and use of information and communication technologies.
Bibliographic record
Abstract
The number of migrants is increasing worldwide coupled with an ever-expanding entrenchment of information and communication technologies (ICTs) in the fabric of daily life. There has been little attention in the health disciplines to the unique ways migrants adopt and are influenced by ICTs across multiple local and transnational social spaces. This scoping review explores the current evidence on migrants’ ICT-mediated transnational social activities and related influences on wellbeing. The review was conducted using Arksey and O'Malley’s (2005) methodological framework and a total of 37 articles were included for the final study. Key findings highlight barriers and facilitators of ICT use in transnational contexts, types of ICT-mediated transnational social activities; and reported influences on migrants’ wellbeing. Migrants’ ICT use facilitates reciprocal channels of social support and continuation of valued social roles. Social role disruption, unequal exchange of social support, and mismatch between migrants’ expectations around ICT use and that of left-behind communities are some of the negative processes with psychological, social, and emotional consequences identified in the review. Main review conclusions emphasize the need to further explore the quality and intensity of ICT-mediated social influences on migrants’ wellbeing and to incorporate a transnational lens in the design of digital learning interventions targeting vulnerable migrant populations.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".