Experiences of Homelessness Among Afghan Refugees in Iran: Empowerment Through a 4Es Model (Education, Employment, Emotional and Economical Support)
Bibliographic record
Abstract
Displaced people from Afghanistan comprise the largest protracted refugee population in Asia and the second-largest refugee population in the world. For nearly 40 years, most Afghan refugees have been received in neighboring Iran and Pakistan. In Iran, they have been provided with such provisions as healthcare, education, housing, employment, food, visas, and continuing residence. However, many Afghan refugees face significant barriers in accessing services, particularly when it comes to undocumented persons. This study identifies the factors affecting homelessness among refugees, drawing on interviews with eight Afghan men. We explore a four key elements (4Es) construct for supporting the empowerment of refugee people in Iran through education, employment, economic, and emotional support. The study argues that the 4Es approach can alleviate homelessness among refugees.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".