“I am mostly concerned about their education”: Syrian refugee families and the right to education in Lebanon
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ongoing since 2011, the conflict in Syria is considered to be one of the largest humanitarian crises in modern history. With a large number of Syrian families fleeing the war to resettle in neighboring Lebanon, Lebanon’s education system has become overwhelmed. In this paper, we will describe how Syrian families and community stakeholders experienced education in Lebanon and highlight barriers to education, suggesting potential interventions to ensure that the right to education is upheld. The findings underscore the multiple challenges that Syrian families face in seeking education for their children. At the same time, the findings point to the importance of education in the lives of Syrian families both in Syria before the war, in their current contexts of displacement in Lebanon, and in their future hopes and dreams for their children.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it