Medical Facilities for Refugees in Europe: Creating a Consultation for Resettled Syrian Families
Bibliographic record
Abstract
The wave of migration that has hit Europe in recent years has led to several changes in the organization of asylum systems and medical care provided to migrants. Previous studies indicate that asylum seekers and refugees face multiple barriers in accessing health care. For that reason, adapted structures are needed. In this context, a family consultation service was implemented in our medical center in Lausanne, Switzerland. It aimed at addressing the unique health care needs of recently resettled families from Syria, which has been the leading source country for refugees since 2014. This intervention, developed through collaboration between the University Center for Primary Care and Public Health (Unisanté) and the Children's Hospital of Lausanne (HEL) involved a multidisciplinary team comprising a pediatrician, a general practitioner and a pediatric nurse. Bringing together a multidisciplinary team optimized care coordination, facilitated communication between care providers and enabled a more global vision of the family system with the aim of enhancing quality of care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".