Syrian Refugees and Their Impact on Health Service Delivery in the Pediatric Hematology/Oncology Clinics Across Canada
Bibliographic record
Abstract
This study examined the impact of Syrian refugees on 1 area of the Canadian health care sector. We predicted that pediatric hematology clinics across Canada would see a spike in their Syrian refugee patient population in proportion to their recent migration and, as a result, an increase in perceived workload. Data on the number of refugee patients, types of diseases, and perceived workload were gathered from hematology clinics across Canada using a clinical survey (Supplemental Digital Content 1, http://links.lww.com/JPHO/A315). The results showed that Ontario had the most Syrian refugee patients, followed by the Quebec, Western Canadian, and Atlantic regions. The results also showed that perceived workload ranged from "no increase" (4 programs) to "minimal increase" <25% (1 program), "moderate increase" 25% to 75% (4 programs), and "significant increase" >75% (3 programs, 2 of which had no transfusion-dependent thalassemia patients before the immigration).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".