“I Don't Know if We'll Ever Live in Harmony”: Exploring the Unmet Needs of Syrian Adolescent Girls in Protracted Displacement in Lebanon
Bibliographic record
Abstract
Abstract BackgroundThe current crisis in Syria has led to unprecedented displacement, with neighbouring Lebanon now hosting more than 1.5 million conflict-affected migrants from Syria. In many situations of displacement, adolescent girls are a vulnerable sub-group. This study explores and describes the self-reported unmet needs of Syrian adolescent girls who migrated to Lebanon between 2011 and 2016.MethodsThis qualitative study focusing on the unmet needs of adolescent girls was part of a larger research project on child marriage among Syrian migrants in Lebanon. Participants were recruited using purposive sampling in three field locations in Lebanon by locally trained research assistants. One hundred eighty-eight Syrian adolescent girls chose to tell stories about their own experiences. Using handheld tablets and an application called “Sensemaker” stories were audio-recorded and later transcribed. Participants were asked to then self-interpret their stories by answering specific quantitative survey-type questions. Demographic information was also collected. NVivo was used to undertake deductive coding using Maslow’s Hierarchy of Needs as an analytic frame. ResultsAmong the 188 self-reported stories from adolescent girls, more than half mentioned some form of unmet need. These needs ranged across the five levels of Maslow’s Hierarchy from physiological, safety, belonging, esteem and self-actualization. Nearly two thirds of girls mentioned more than one unmet need and the girls’ expressed needs varied by marital status and time since migration. Unmet esteem needs were expressed in 22% of married, and 72% of unmarried girls. Belongingness needs were expressed by 13% of girls who migrated in the last 1-3 years and 31% of those who migrated in the previous 4-5 years. ConclusionMany needs of Syrian adolescent girl migrants remain unmet in this situation of now protracted displacement. Girls most commonly expressed needs for love and belonging followed closely by needs for safety and basic resources. The level and type of unmet need differed by marital status and time since displacement. Unmet needs have been associated elsewhere with physical illness, life dissatisfaction, post-traumatic stress, depression, anxiety and even death. These results can inform integrated interventions and services specifically targeting adolescent girls and their families in the protracted migration situation now facing Lebanon.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".