Perspectives of displaced Syrian women and service providers on fertility behaviour and available services in West Bekaa, Lebanon
Bibliographic record
Abstract
Prior to the conflict, Syria had relatively high fertility rates. In 2010, it had the sixth highest total fertility rate in the Arab World, but it witnessed a fertility decline before the conflict in 2011. Displacement during conflict influences fertility behaviour, and meeting the contraceptive needs of displaced populations is complex. This study explored the perspectives of women and service providers about fertility behaviour of and service provision to Syrian refugee women in Bekaa, Lebanon. We used qualitative methodology to conduct 12 focus group discussions with Syrian refugee women grouped in different age categories and 13 in-depth interviews with care providers from the same region. Our findings indicate that the displacement of Syrians to Lebanon had implications on the fertility behaviour of the participants. Women brought their beliefs about preferred family size and norms about decision-making into an environment where they were exposed to both aid and hardship. The unaffordability of contraceptives in the Lebanese privatised health system compared to their free provision in Syria limited access to family planning services. Efforts are needed to maintain health resources and monitor health needs of the refugee population in order to improve access and use of services.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".