Migration and "Low-Skilled" Workers in Destination Countries
Bibliographic record
Abstract
Summary Points \n \nThe last few decades have seen substantial increases in the migration of migrant workers, raising concerns about the health implications of these movements. \nIn destination countries, migrant workers often fill undesirable, low-skill positions characterized by flexibility, insecurity, precarious employment, and long working hours with low pay. \nUndocumented or “illegal” migrants are especially vulnerable to exploitation since they fear job loss, incarceration, and deportation. \nUrgent health issues to be addressed among migrant workers include occupational safety, injury prevention, work-related diseases, barriers to accessing health services, and the associated health risks for their families and communities, in addition to discrimination and exploitation. \nGovernments, unions, and international organizations should collaborate to implement fair labour standards for both legal and illegal labourers that are on par with citizen workers, standardise labour migration policies, and provide legal support for undocumented labourers to help eradicate human trafficking and other forms of extreme labour exploitation.
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.
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".