Syrian Refugee Women: A Vulnerable Population Struggles to Find Care
Bibliographic record
Abstract
IntroDuctIonCanadians pride themselves for having a health system founded on the principles of universality and accessibility.Over the next few years, the system must address the health-related needs of Syrian refugees in Canada.Between November 2015 and September 2016, Canada welcomed 31,444 refugees from Syria and is currently processing another 20,261 applications.1 Compared to the previous intake of 1,306 Syrian refugees in 2013, this represents a large influx of citizens that will undoubtedly strain the health system. 2 To manage this increased resettlement commitment, the government has adopted a targeted approach to resettlement by prioritizing the needs of women, a particularly vulnerable group among refugees due to their possible history with sex and gender-based violence.3,4 In order for the health system to truly match the values it was founded upon, there is a need to address the specific health challenges faced by refugees and, in particular, the challenges faced by refugee women once they arrive in Canada.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.046 | 0.022 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.001 | 0.022 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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".