Positive worry and negative hope: paradoxical perceptions of the experiences of Syrian refugee girls in Lebanon
Bibliographic record
Abstract
Literature on refugee well-being has largely focused on trauma, stress, and medical diagnoses. Less is known about how refugees adapt to their new contexts and experience hope for the future. This study examines the experiences of Syrian refugee girls in Lebanon through secondary qualitative analysis of SenseMaker® data. From a larger sample ( n = 1422), we selected self-interpreted narratives for which there was a discordance between the self-reported emotional tone and self-reported feelings for more in-depth analysis (final sample n = 25). Our purpose was to better understand complex emotional responses to the challenging circumstances the girls experience. In our analysis, we identified three thematic categories related to the complex decisions girls face: education, marriage, and daily life as refugees. In the context of these three categories, we propose that understanding the complexity of emotional responses within a variety of intersecting spheres of life is a necessary first step in establishing realistic, relevant, and long-term community-led initiatives for displaced persons.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".