Connecting Health Promotion and Sustainable Development Goals to Enhance the Health of Agrifood Temporary Migrant Workers—a Scoping Review
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 Temporary migrant workers (TMW) in the agrifood system face social determinants of health (SDoH) that contribute to health inequities. Despite their dual residency, the potential of the Sustainable Development Goals (SDG) to support the health of TMW remains underexamined. SDG transformations provide a framework for implementing interventions and policies. This scoping review aimed to map health promotion interventions and policies for agrifood TMW in high‐income countries by SDoH addressed and categorize them with SDG transformations. Twenty‐six studies were identified from multidisciplinary databases; characteristics and SDoH were charted. While key SDoH were addressed, most interventions and policies clustered within two transformations: ‘Health’ and ‘Education and inequalities’. Gaps in remaining SDG transformations highlight opportunities to strengthen agrifood social and environmental sustainability. By linking health promotion interventions with SDG transformations, this review offers a novel strategy to guide intersectoral, participatory efforts to support TMW health and equity, and inform future research and policy.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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