Health, Place, and Space: Adolescent Female Refugees in Palestinian Camps
Bibliographic record
Abstract
Female Palestinian refugee adolescents living in camps face enormous challenges that influence their health. Studies have shown the spatial and physical contexts of people's lives — where and how they live — determine their health, meaning that refugee health cannot be fully understood in isolation from the spatial and physical contexts that shape and sustain health conditions and community environment. Chronic disease, mental health issues, health conditions, and behavior are all affected by spatial and physical factors such as neighborhood socioeconomics, social environment, and the physical (built) environment, all of which are amplified inside refugee camps, including Palestinian camps. Place and space take into account the social relations and social construction of a community as well as the personal experience of spatiality, temporality, and materiality that influence the process of shaping the health status of individuals, especially refugees. This study investigates the construct of space in Palestinian camps in Jordan and the West Bank, and its effect on the health of female adolescents living in these camps. We examine how place and space influence and shape the health status of refugees. To do this, we consider the social relations and social construction of these refugee communities as well as individual refugees' personal experiences of spatiality, temporality, and materiality.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".